magnet:?xt=urn:btih:4CB29A8C7515B3DA0F203578133B9A32B660A94F
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/2. Importing Data into Python from JSON Using the JSON Library.mp4 41.3 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/3. Importing Text and CSV Files Using pandas.mp4 37.9 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/4. Organizing, Navigating, Refactoring, and Styling Code.mp4 33.1 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/4. Configuring Python Features for Specific Code Editors.mp4 31.2 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/3. Overview of Available Code Editors for Python.mp4 30.4 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/5. Running and Debugging Python Code with an IDE.mp4 27.6 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/6. Integrating with Version Control Using an IDE.mp4 27.1 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/06. Demo - Exploring Online Resources.mp4 25.4 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/2. Customizing IDEs.mp4 23.9 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/5. Import Data into Python from Excel Files/2. Importing Excel Files Using pandas.mp4 23.5 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/04. Demo - Configuring Data Sources and Creating Datasets.mp4 22.4 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/1. Improving Your Productivity Programming in Python with an IDE.mp4 22.4 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/3. Features That Improve Productivity Coding with an IDE.mp4 20.6 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/1. Programming Python Using an IDE! But Why And Which One.mp4 19.6 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/08. Demo - Running and Debugging Code with PyCharm.mp4 19.3 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/06. Demo - Running and Debugging Code with Eclipse.mp4 19.3 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/09. Demo - Working with Spyder.mp4 19.2 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/4. Demo - Analyzing and Visualizing Data on Azure Notebooks.mp4 18.8 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/3. Importing Data into Python from XML Using the ElementTree XML API.mp4 18.6 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/2. Importing CSV Files Using the Python csv Module.mp4 18.2 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/2. Importing Text Data into Python Using NumPy/2. Importing Flat Files and Numeric Data Using NumPy.mp4 17.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/5. Demo - Working with the Command Line Processes and Environment Variables.mp4 17.1 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/3. Rendering Charts to Specialized Formats.mp4 16.5 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/04. Demo - Running and Debugging Code with IDLE.mp4 16.4 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/8. Demo - Exploring Line and Cell Magic Commands.mp4 16.4 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/04. Using BeautifulSoup4 to Navigate Our Scraped Data.mp4 16.3 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/2. Rendering Charts to Image Files.mp4 16.3 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/2. Importing Text Data into Python Using NumPy/1. Importing Text Data into Python Using NumPy.mp4 16.1 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/13. Demo - Writing a Python Script for a Classification Model.mp4 15.9 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/05. Demo - Data Preparation and Visualization.mp4 15.9 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/6. Identifying and Dropping Duplicate Data.mp4 15.8 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/6. Demo - Share Notebooks on Github.mp4 15.6 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/2. Demo - Analyzing and Visualizing Data.mp4 15.5 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/06. Demo - MacOS - Installing Anaconda and Jupyter Notebooks.mp4 15.5 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/3. Demo - Exploring Interactive Widgets.mp4 15.5 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/08. Building the Scraper Module Using PyCharm.mp4 15.4 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/5. Demo - Setting up and Connecting to Cloud Datalab on the GCP.mp4 15.2 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/4. Demo - Adding Interactivity to Custom Functions.mp4 14.9 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/09. Demo - Batch and Individual Predictions.mp4 14.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/10. Demo - Conditional Looping Using While Loops.mp4 14.8 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/exercise.7z 14.8 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/11. Adding a Test to Verify Our Regular Expression Processing.mp4 14.7 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/07. Demo - MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Instal.mp4 14.3 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/3. Demo - Creating and Working with Notebook Instances on Amazon SageMaker.mp4 14.1 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/05. Demo - Installing Eclipse and Setting up the PyDev Plugin.mp4 14.0 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/04. Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.mp4 13.9 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/06. Generating Radar Plots.mp4 13.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/05. Demo - Reassignment of Variables within Functions.mp4 13.7 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/3. Replacing Bad Data with NaN.mp4 13.7 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/09. Demo - MacOS - Installing Jupyter Lab Using Pip.mp4 13.5 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/4. PyQuery and Pygal.mp4 13.5 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/02. Demo - Defining and Invoking Custom Functions.mp4 13.4 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/10. Constructing a Dot Plot.mp4 13.4 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/09. Exploring Real Data with XY Plots.mp4 13.4 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/05. Constructing a Map Visualization.mp4 13.4 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/02. Understanding the HTML, CSS and Structure of Our Target Page.mp4 13.3 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/5. Filtering Data with str.contains.mp4 13.2 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/11. Demo - Sharing Visualizations Online Using Plotly.mp4 13.2 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/07. Demo - Building Models.mp4 12.9 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/2. Demo - Exploring the Notebook Interface.mp4 12.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/09. Demo - First Class Functions.mp4 12.7 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/7. Plot Data from a CSV File.mp4 12.6 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/04. Demo - If Else Statements.mp4 12.6 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/8. Demo - Executing Code to Integrate with S3 Buckets.mp4 12.6 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/07. More Querying and Database Functions.mp4 12.6 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/04. Demo - Windows - Installing Anaconda and Jupyter Notebooks.mp4 12.5 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/02. Construct a Basic Pie Chart.mp4 12.4 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/6. Demo - Building a Simple Regression Model on Datalab.mp4 12.4 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/10. Demo - Clustering.mp4 12.3 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/08. Demo - Building a Regression Model.mp4 12.3 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/2. Reviewing Our Target Auto-MPG Web Page.mp4 12.2 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/3. Concatenating Datasets.mp4 12.1 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/2. Demo - Introducing Built-in Functions.mp4 12.0 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/04. Visualizing Distributions with Box Plots.mp4 12.0 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/07. Demo - Installing and Setting up PyCharm.mp4 11.9 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/6. Interacting with Pygal Charts.mp4 11.8 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/12. Building a Treemap Visualization.mp4 11.8 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/03. Demo - Installing and Setting up IDLE.mp4 11.8 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/04. Chart, Serie, and Value Configurations.mp4 11.8 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/08. Demo - Cleaning Data.mp4 11.7 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/2. Dropping Columns.mp4 11.6 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/07. Demo - Simple Expressions.mp4 11.5 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/7. Demo - Setting up a SageMaker Notebook Instance on AWS.mp4 11.5 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/06. The Declarative API.mp4 11.5 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/3. Demo - String Functions, Return Values, and Nested Function Invocations.mp4 11.4 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/6. Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.mp4 11.4 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/05. Demo - Windows - Installing Jupyter Notebooks Using Pip.mp4 11.3 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/05. Defining Styles and Configs.mp4 11.2 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/07. Demo - Widgets.mp4 11.1 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/07. Demo - Invoking Functions with Keyword Arguments.mp4 11.1 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/6. Building a Flask App to Render Pygal Charts.mp4 11.1 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/11. Demo - Wrangling and Visualizing Data.mp4 10.9 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/6. Demo - Using Python 2 and Python 3 Kernels.mp4 10.8 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/4. Renaming Columns.mp4 10.8 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/6. Cloudera Data Science Workbench for Data Science at Scale.mp4 10.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/8. Demo - Introducing Dictionaries.mp4 10.7 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/08. Creating Gauge Plots.mp4 10.7 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/06. Introducing Line and Datetimeline Charts.mp4 10.7 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/7. Demo - Overwriting and Appending Content to a File.mp4 10.5 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/5. Demo - Exploring and Working with Azure Notebooks.mp4 10.4 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/2. Viewing and Converting Types.mp4 10.4 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/4. Using .iloc to Access Specific Rows or Columns.mp4 10.4 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/exercise.7z 10.4 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/09. Demo - Variables.mp4 10.4 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/10. Refactoring Our Code and Caching Our Scraped Data.mp4 10.3 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/04. Demo - Returning Values from Functions.mp4 10.2 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/08. Demo - Exploring Magic Commands.mp4 10.2 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/08. Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.mp4 10.2 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/07. Demo - Restarting and Switching Kernels.mp4 10.1 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/10. Demo - Visualizing Relationships in Data.mp4 10.1 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/05. Demo - Interactive Forms.mp4 10.1 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/4. Demo - Customizing Shortcuts.mp4 10.0 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/04. Python for Data Analysts.mp4 9.9 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/07. Plotting Real Data with Line and Dateline Charts.mp4 9.8 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/4. Primary Keys, Constraints, and Data Defaults.mp4 9.8 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/5. Dropping Rows of Data.mp4 9.8 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/09. Dealing with Missing Data during the Scrape.mp4 9.8 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/07. Demo - MacOS - Using Brew to Install Python 3.mp4 9.7 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/2. Direct Filtering with Square Brackets.mp4 9.7 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/5. Demo - Notebook Limits and Shutting down Kernels.mp4 9.7 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/3. Demo - Getting Started with Azure Notebooks.mp4 9.7 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/05. Extracting Information from a Scraped Division.mp4 9.6 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/05. Demo - Installing Anaconda Python on MacOS.mp4 9.5 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/4. Demo - Introducing Lists.mp4 9.4 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/06. Demo - Installing Anaconda Python on Windows.mp4 9.3 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/3. Demo - Restarting the Kernel.mp4 9.3 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/03. Introducing Jupyter Notebooks.mp4 9.3 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/03. Donut and Half Pie Charts.mp4 9.3 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/exercise.7z 9.2 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/3. Aggregating Data.mp4 9.2 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/6. Demo - Reading the Contents of a File.mp4 9.2 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/10. Demo - Exploring Interactive Widgets.mp4 9.2 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/2. Importing sqlite Database Files.mp4 9.1 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/4. Demo - Uploading Notebooks to SageMaker and Using the Terminal Window.mp4 9.1 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/03. Python for Data Analytics.mp4 9.0 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/3. Demo - Why and How to Use the GroupBy Function.mp4 9.0 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/03. Demo - Introducing the Google Colab Interface.mp4 9.0 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/3. Data Indexing with .loc.mp4 9.0 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/05. Demo - Installing the Python 2 Kernel along with Python 3.mp4 8.9 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/5. Importing Data from Relational Databases with pandas (MySQL).mp4 8.9 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/08. Demo - Logical Operations.mp4 8.9 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/03. Pyramid Charts.mp4 8.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/8. Demo - Working with CSV and JSON Files.mp4 8.8 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/5. Install Pygal.mp4 8.7 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/3. Exploratory Data Analysis Strategy.mp4 8.7 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/06. Demo - Windows - Installing Python and Using Pip to Install Packages.mp4 8.7 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/5. Transforming Data.mp4 8.7 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/09. Demo - Line Magic and Cell Magic Commands.mp4 8.5 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/07. Demo - Iterating over List Elements Using a For Loop.mp4 8.5 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/4. Working with Databases Using SQLAlchemy.mp4 8.5 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/03. Coming up with a Strategy for a More Complicated Web Page.mp4 8.5 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/4. Using Jupyter Notebook for Data Science.mp4 8.5 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/4. Normalizing Data.mp4 8.4 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/02. Transactional and Analytical Processing.mp4 8.4 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/11. Demo - Anomaly Detection.mp4 8.4 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/03. Demo - If Statements for Conditional Branching.mp4 8.3 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/7. Working with Databases in Python Using an IDE.mp4 8.3 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/3. Demo - Introducing NumPy.mp4 8.3 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/07. Constructing a Funnel Visualization.mp4 8.3 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/5. Create Frequency Table with the Crosstab Function.mp4 8.3 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/1. Exporting Scraped Data to a CSV File.mp4 8.2 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/7. Demo - Uploading Files and Running Code on GCP.mp4 8.2 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/5. Demo - List Slicing Operations and List Functions.mp4 8.2 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/3. Vector and Raster Images.mp4 8.1 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/08. Demo - MacOS - Using Pip to Install Packages.mp4 8.1 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/8. Unit Testing with an IDE.mp4 8.0 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/8. Stacked Bar Charts.mp4 7.9 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/11. Demo - Break.mp4 7.9 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/10. Demo - Basic Types and Type Conversions.mp4 7.9 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/07. Workflows in Data Analytics.mp4 7.9 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/04. Essential Analytical Building Blocks.mp4 7.8 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/5. Investigating Relationships between MPG and Weight.mp4 7.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/7. Demo - Introducing Tuples.mp4 7.7 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/12. Demo - Continue and Pass.mp4 7.6 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/09. Demo - Installing and Working with Virtual Environments.mp4 7.6 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/exercise.7z 7.6 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/6. Reading Pickle Files.mp4 7.4 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/02. Plotting Histograms.mp4 7.4 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/04. Python Development Environments.mp4 7.4 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/12. Demo - Using Online Editors to Write Python Code.mp4 7.4 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/6. Filtering Data.mp4 7.4 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/09. Solid Gauge Plots.mp4 7.4 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/4. Merging Datasets.mp4 7.3 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/08. Introducing XY Plots.mp4 7.2 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/06. Demo - Modification of Complex Types within Functions.mp4 7.1 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/05. Python Resources for Analysts.mp4 7.1 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/03. Demo - Windows Installing Anaconda and Running Jupyter Notebooks.mp4 7.0 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/11. Demo - Editing a Python Script Using SublimeText.mp4 7.0 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/2. Reading SAS Files with pandas.mp4 7.0 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/2. Updating Data in a Database.mp4 6.9 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/06. Demo - Executing Code in Jupyter.mp4 6.9 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/3. Loading Data Using SQLAlchemy.mp4 6.9 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/4. Reading HDF5 Files.mp4 6.9 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/11. Demo - Simple Strings and Multi-line Strings.mp4 6.8 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/05. Python Packages.mp4 6.7 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/4. Reviewing Our Hypothesis.mp4 6.7 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/2. Getting a Data Overview with Pandas.mp4 6.7 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/06. Demo - If-elif for Multiple Conditional Checks.mp4 6.7 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/9. Telling a Data Story to Explain Our Discoveries.mp4 6.5 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/3. Demo - Convert Categorical Values Using One-hot Encoding.mp4 6.4 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/5. Inserting Data - Single and Multiple Rows.mp4 6.4 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/3. Reshape Long Data to Wide Data with the Pivot Function.mp4 6.4 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/06. Using Selectors as an Alternative to the Find Method.mp4 6.4 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/2. Stripping White Space.mp4 6.4 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/3. The Complicated Difference between Dynamic and Static Web Pages.mp4 6.3 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/2. Running Hosted Jupyter Notebooks on the Cloud.mp4 6.2 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/03. Connecting to Databases - Connectors and the Connection String.mp4 6.2 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/09. Demo - Integrating with Github.mp4 6.2 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/3. Changing Column Casing.mp4 6.2 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/2. Installing and Importing SQLAlchemy.mp4 6.1 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/2. Jupyter on the Cloud.mp4 5.9 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/05. Object-relational Mapper (ORM) and Classical Mapping.mp4 5.9 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/12. Demo - Prototyping a Classifier.mp4 5.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/08. Demo - Assigning Default Values for Input Arguments.mp4 5.8 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/4. Filter and Transform with GroupBy.mp4 5.7 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/03. Demo - Passing Input Arguments to Functions.mp4 5.7 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/02. Picking a Database.mp4 5.7 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/5. Visualizing and Graphing Data with Matplotlib.mp4 5.7 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/7. Demo - Using R and Python 3 Kernels.mp4 5.7 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/5. Building Sparklines.mp4 5.7 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/10. Demo - Editing a Python Script Using Nano and Vim.mp4 5.7 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/4. Filling Missing Data with a Value.mp4 5.6 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/2. Leveraging Data Science and Scientific Tools in PyCharm.mp4 5.6 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/05. Demo - Using if with Lists and Dictionary Elements.mp4 5.5 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/08. Demo - Using For Loops with the Range Function.mp4 5.5 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/6. The How Parameter.mp4 5.5 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/2. Demo - Working with the Math Module.mp4 5.5 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/3. Reading Stata Files with pandas.mp4 5.4 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/02. Introducing Jupyter Notebooks.mp4 5.4 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/2. Introducing Pygal.mp4 5.3 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/06. Demo - Accessing Google Drive Contents from Colab.mp4 5.2 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/09. Demo - Summary Statistics and Basic Analysis.mp4 5.2 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/5. Merge Keys.mp4 5.2 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/3. Creating Tables.mp4 5.2 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/06. Demo - Splitting into Training and Test Subsets.mp4 5.1 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/4. Create Dummy Variables with Pandas.mp4 5.1 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/3. Working with an IDE Built for Scientific Python - Spyder.mp4 5.1 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/5. Using Apache Zeppelin for Data Science.mp4 5.1 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/01. A Primer on HTML and CSS.mp4 5.1 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/7. Importing Relational Data.mp4 4.9 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4 4.8 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/08. Demo - Evaluating Models.mp4 4.8 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/03. Python for Data Analysts.mp4 4.7 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/4. Demo - Introducing Pandas.mp4 4.7 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/4. The SVG Format.mp4 4.7 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/04. Demo - Colab Notebooks—Similar yet Different.mp4 4.7 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/6. Demo - Concatenating and Copying Lists.mp4 4.7 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/5. Demo - Grouping Multi-index Data.mp4 4.6 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/1. Course Overview/1. Course Overview.mp4 4.6 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/1. Course Overview/1. Course Overview.mp4 4.5 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/11. Representing Negative Values in a Dot Plot.mp4 4.5 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/1. Leveraging a Python IDE for Data Science.mp4 4.4 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/1. Course Overview/1. Course Overview.mp4 4.4 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/4. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.mp4 4.4 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/1. Course Overview/1. Course Overview.mp4 4.4 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/5. Reshape Data Using the Stack and Unstack Functions.mp4 4.3 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/5. Demo - Save, Checkpoint, and Export Notebooks.mp4 4.3 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/8. Understanding Brands and Territories with Text Processing.mp4 4.2 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4 4.2 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/09. Demo - Iterating over Dictionary Elements Using a For Loop.mp4 4.1 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/02. Introducing Big ML.mp4 4.1 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/1. Course Overview/1. Course Overview.mp4 4.1 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/1. Up and Running with SQLAlchemy.mp4 4.0 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/6. Working with PostgreSQL with psycopg2 and SQLAlchemy.mp4 4.0 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/9. Takeaway.mp4 3.9 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/2. One-hot Encoding.mp4 3.9 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/02. Exploring Popular IDEs for Python.mp4 3.9 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/2. Introduction to Data Reshaping.mp4 3.9 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4 3.9 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/7. Looking at MPG over the Years.mp4 3.9 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/6. Understanding How Cylinders and Displacement Are Related.mp4 3.8 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/6. Points to Consider for Data Normalization and Summary.mp4 3.8 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/4. Reshape Wide Data to Long Using the Melt Function.mp4 3.8 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/5. Z-score Normalization.mp4 3.7 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/1. Introduction.mp4 3.7 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/3. Simple Feature Scaling.mp4 3.6 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/1. Course Overview/1. Course Overview.mp4 3.6 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/6. Reshaping and Aggregation with Pivot Table.mp4 3.6 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/4. Min-max Scaling.mp4 3.6 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/1. General Strategies for Scraping Web Pages.mp4 3.6 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/3. Taking Advantage of pandas DataFrames When Querying sqlite.mp4 3.6 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/4. Deleting Data from a Database.mp4 3.6 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/03. Demo - Getting Started with Big ML.mp4 3.6 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/09. Working with Hierarchical Tables.mp4 3.5 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/2. Code Editors vs. Integrated Development Environments.mp4 3.5 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/7. Testing the Flask App.mp4 3.5 MBA2. Python for Data Analysts (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4 3.5 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/7. Demo - Disambiguating Merged Columns and Updating Dataframes.mp4 3.4 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/2. The GroupBy Function.mp4 3.4 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/exercise.7z 3.4 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/2. Creating Databases.mp4 3.4 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/1. Module Overview.mp4 3.3 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/1. Course Overview/1. Course Overview.mp4 3.3 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/2. Normalizing Data - What and Why.mp4 3.3 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/5. Reading Matlab Files.mp4 3.2 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/5. Final Takeaway/1. Final Takeaway.mp4 3.2 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/7. Review.mp4 3.1 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/6. Final Takeaway/1. Final Takeaway.mp4 3.0 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/02. Introducing Google Colab.mp4 2.9 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/6. Loading a CSV into a Table.mp4 2.9 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/1. Course and Module Introduction.mp4 2.9 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/5. Takeaway.mp4 2.8 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/1. Introduction.mp4 2.8 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/01. Module Overview.mp4 2.8 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/1. Importing Data into Python from JSON and XML Files.mp4 2.7 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/6. Review.mp4 2.7 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/9. Summary and Further Study.mp4 2.6 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/9. Module Summary.mp4 2.6 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/1. Module Overview.mp4 2.5 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/8. Summary and Further Study.mp4 2.5 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/10. Summary and Further Study.mp4 2.5 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/13. Module Summary.mp4 2.5 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/exercise.7z 2.4 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/8. Summary.mp4 2.4 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/7. Module Summary.mp4 2.4 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/5. Review.mp4 2.3 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/1. Introduction.mp4 2.3 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/01. Module Overview.mp4 2.3 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/12. Module Summary.mp4 2.3 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/8. Summary.mp4 2.3 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/01. Module Overview.mp4 2.3 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/1. Overview.mp4 2.3 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/04. Querying with SQL.mp4 2.3 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/9. Module Summary.mp4 2.3 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/1. Module Overview.mp4 2.3 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/01. Module Overview.mp4 2.2 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/exercise.7z 2.2 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/1. Module Overview.mp4 2.2 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/01. Module Overview.mp4 2.2 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/01. Overview.mp4 2.2 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/01. Module Overview.mp4 2.2 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/08. Using Joins.mp4 2.2 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/01. Module Overview.mp4 2.1 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/2. Software and Course Prerequisites.mp4 2.1 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/1. Module Overview.mp4 2.1 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/10. Module Summary.mp4 2.1 MBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/07. Advice and Strategy for Scraping.mp4 2.1 MBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/9. Module Summary.mp4 2.1 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/12. Module Summary.mp4 2.1 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/01. Module Overview.mp4 2.1 MBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/10. Module Summary.mp4 2.1 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/10. Module Summary.mp4 2.1 MBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/02. Prerequisites and Course Outline.mp4 2.1 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/7. Review.mp4 2.1 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/5. Deleting Tables.mp4 2.1 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/10. Takeaway.mp4 2.0 MBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/1. Module Overview.mp4 2.0 MBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/13. Module Summary.mp4 2.0 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/02. Module Overview.mp4 1.9 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/02. Prerequisites and Course Outline.mp4 1.9 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/14. Module Summary.mp4 1.9 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/12. Module Summary.mp4 1.9 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/6. Summary and Feedback.mp4 1.9 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/5. Import Data into Python from Excel Files/1. Importing Data into Python from Excel Files.mp4 1.9 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/01. Module Overview.mp4 1.9 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/1. Importing Data into Python from Relational Databases.mp4 1.9 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/3. Correlated Updates.mp4 1.8 MBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/03. Prerequisites and Course Outline.mp4 1.8 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/1. Module Introduction.mp4 1.8 MBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/7. Takeaway.mp4 1.8 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/exercise.7z 1.7 MBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/02. Prerequisites and Course Outline.mp4 1.7 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/01. Querying with SQLAlchemy.mp4 1.7 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/1. Module Introduction.mp4 1.7 MBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/1. Introduction.mp4 1.6 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/1. Importing CSV Data into Python Using csv and pandas.mp4 1.6 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/1. Creating Databases with SQLAlchemy.mp4 1.5 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/6. Takeaway.mp4 1.5 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/6. Takeaway.mp4 1.5 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/1. Module Introduction.mp4 1.4 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/7. Takeaway.mp4 1.4 MBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/exercise.7z 1.3 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/1. Overview.mp4 1.3 MBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/1. Manipulating Databases with SQLAlchemy.mp4 1.3 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/1. Module Introduction.mp4 1.2 MBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/1. Importing Data into Python from Common Binary Data File Formats.mp4 1.1 MBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/7. Summary.mp4 1.0 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/10. Summary.mp4 1.0 MBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/01. Overview.mp4 945.4 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/exercise.7z 941.5 kBA2. Python for Data Analysts (Janani Ravi, 2019)/exercise.7z 833.3 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/13. Summary.mp4 747.6 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/01. Version Check.mp4 583.6 kB
scr.png 226.5 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/3. Importing Text and CSV Files Using pandas.vtt 24.2 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/5. Running and Debugging Python Code with an IDE.vtt 18.5 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/4. Configuring Python Features for Specific Code Editors.vtt 18.4 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/3. Overview of Available Code Editors for Python.vtt 17.8 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/1. Improving Your Productivity Programming in Python with an IDE.vtt 14.2 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/2. Importing Data into Python from JSON Using the JSON Library.vtt 14.2 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/6. Integrating with Version Control Using an IDE.vtt 14.0 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/5. Import Data into Python from Excel Files/2. Importing Excel Files Using pandas.vtt 14.0 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/4. Organizing, Navigating, Refactoring, and Styling Code.vtt 13.6 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/10. Demo - Conditional Looping Using While Loops.vtt 12.6 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/13. Demo - Writing a Python Script for a Classification Model.vtt 12.2 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/04. Demo - Configuring Data Sources and Creating Datasets.vtt 12.1 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/02. Demo - Defining and Invoking Custom Functions.vtt 12.0 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/3. Demo - Exploring Interactive Widgets.vtt 11.9 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/8. Demo - Exploring Line and Cell Magic Commands.vtt 11.4 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/2. Demo - Analyzing and Visualizing Data.vtt 11.2 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/3. Features That Improve Productivity Coding with an IDE.vtt 11.1 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/5. Demo - Working with the Command Line Processes and Environment Variables.vtt 11.0 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/4. Demo - Adding Interactivity to Custom Functions.vtt 10.8 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/2. Importing Text Data into Python Using NumPy/2. Importing Flat Files and Numeric Data Using NumPy.vtt 10.7 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/2. Demo - Exploring the Notebook Interface.vtt 10.7 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/2. Customizing IDEs.vtt 10.5 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/2. Demo - Introducing Built-in Functions.vtt 10.5 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/04. Demo - Running and Debugging Code with IDLE.vtt 10.4 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/03. Introducing Jupyter Notebooks.vtt 10.3 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/10. Constructing a Dot Plot.vtt 10.2 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/3. Demo - String Functions, Return Values, and Nested Function Invocations.vtt 10.1 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/05. Demo - Data Preparation and Visualization.vtt 10.0 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/05. Constructing a Map Visualization.vtt 10.0 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/06. Generating Radar Plots.vtt 10.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/09. Demo - First Class Functions.vtt 10.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/04. Demo - If Else Statements.vtt 9.9 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/04. Python for Data Analysts.vtt 9.9 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/7. Plot Data from a CSV File.vtt 9.9 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/06. Demo - Running and Debugging Code with Eclipse.vtt 9.8 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/12. Building a Treemap Visualization.vtt 9.7 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/06. Demo - Exploring Online Resources.vtt 9.7 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/09. Demo - Working with Spyder.vtt 9.7 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/07. Demo - Simple Expressions.vtt 9.6 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/05. Defining Styles and Configs.vtt 9.6 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/08. Demo - Running and Debugging Code with PyCharm.vtt 9.5 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/06. The Declarative API.vtt 9.4 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/09. Exploring Real Data with XY Plots.vtt 9.4 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/6. Demo - Building a Simple Regression Model on Datalab.vtt 9.4 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/2. Rendering Charts to Image Files.vtt 9.4 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/05. Demo - Interactive Forms.vtt 9.3 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/8. Demo - Introducing Dictionaries.vtt 9.2 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/02. Construct a Basic Pie Chart.vtt 9.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/05. Demo - Reassignment of Variables within Functions.vtt 9.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/7. Demo - Overwriting and Appending Content to a File.vtt 9.0 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/03. Python for Data Analytics.vtt 8.9 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/2. Importing CSV Files Using the Python csv Module.vtt 8.9 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/6. Building a Flask App to Render Pygal Charts.vtt 8.8 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/08. Demo - Building a Regression Model.vtt 8.7 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/04. Chart, Serie, and Value Configurations.vtt 8.7 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/3. Demo - Creating and Working with Notebook Instances on Amazon SageMaker.vtt 8.7 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/5. Demo - Setting up and Connecting to Cloud Datalab on the GCP.vtt 8.7 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/5. Install Pygal.vtt 8.7 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/04. Demo - Windows - Installing Anaconda and Jupyter Notebooks.vtt 8.6 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/09. Demo - Variables.vtt 8.5 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/07. Demo - Invoking Functions with Keyword Arguments.vtt 8.5 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/08. Demo - Cleaning Data.vtt 8.5 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/04. Visualizing Distributions with Box Plots.vtt 8.5 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/06. Demo - MacOS - Installing Anaconda and Jupyter Notebooks.vtt 8.5 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/11. Adding a Test to Verify Our Regular Expression Processing.vtt 8.4 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/07. Demo - Widgets.vtt 8.4 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/1. Programming Python Using an IDE! But Why And Which One.vtt 8.3 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/3. Concatenating Datasets.vtt 8.3 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/09. Demo - Batch and Individual Predictions.vtt 8.2 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/2. Importing Text Data into Python Using NumPy/1. Importing Text Data into Python Using NumPy.vtt 8.2 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/10. Demo - Clustering.vtt 8.1 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/05. Python Resources for Analysts.vtt 8.1 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/07. Demo - Building Models.vtt 8.1 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/6. Interacting with Pygal Charts.vtt 8.0 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/08. Creating Gauge Plots.vtt 8.0 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/07. Workflows in Data Analytics.vtt 8.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/4. Demo - Introducing Lists.vtt 8.0 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/06. Introducing Line and Datetimeline Charts.vtt 7.9 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/4. Primary Keys, Constraints, and Data Defaults.vtt 7.9 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/04. Essential Analytical Building Blocks.vtt 7.8 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/04. Python Development Environments.vtt 7.8 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/04. Demo - Returning Values from Functions.vtt 7.8 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/11. Demo - Wrangling and Visualizing Data.vtt 7.7 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/08. Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.vtt 7.7 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/05. Demo - Installing Anaconda Python on MacOS.vtt 7.7 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/6. Demo - Share Notebooks on Github.vtt 7.6 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/03. Donut and Half Pie Charts.vtt 7.6 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/6. Demo - Reading the Contents of a File.vtt 7.6 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/03. Demo - Installing and Setting up IDLE.vtt 7.5 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/09. Demo - MacOS - Installing Jupyter Lab Using Pip.vtt 7.5 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/08. Demo - Exploring Magic Commands.vtt 7.4 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/02. Transactional and Analytical Processing.vtt 7.4 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/3. Importing Data into Python from XML Using the ElementTree XML API.vtt 7.4 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/8. Demo - Executing Code to Integrate with S3 Buckets.vtt 7.3 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/4. Demo - Analyzing and Visualizing Data on Azure Notebooks.vtt 7.3 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/07. Demo - Iterating over List Elements Using a For Loop.vtt 7.3 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/05. Demo - Installing Eclipse and Setting up the PyDev Plugin.vtt 7.2 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/4. Working with Databases Using SQLAlchemy.vtt 7.1 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/6. Identifying and Dropping Duplicate Data.vtt 7.1 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/6. Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.vtt 7.1 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/11. Demo - Sharing Visualizations Online Using Plotly.vtt 7.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/08. Demo - Logical Operations.vtt 6.9 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/03. Pyramid Charts.vtt 6.9 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/4. PyQuery and Pygal.vtt 6.9 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/05. Demo - Windows - Installing Jupyter Notebooks Using Pip.vtt 6.9 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/8. Demo - Working with CSV and JSON Files.vtt 6.9 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/10. Demo - Basic Types and Type Conversions.vtt 6.9 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/07. Demo - Restarting and Switching Kernels.vtt 6.9 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/07. More Querying and Database Functions.vtt 6.8 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/8. Stacked Bar Charts.vtt 6.8 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/07. Plotting Real Data with Line and Dateline Charts.vtt 6.8 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/2. Updating Data in a Database.vtt 6.8 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/03. Demo - If Statements for Conditional Branching.vtt 6.8 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/2. Reviewing Our Target Auto-MPG Web Page.vtt 6.8 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/11. Demo - Break.vtt 6.8 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/07. Demo - Installing and Setting up PyCharm.vtt 6.8 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/2. Importing sqlite Database Files.vtt 6.8 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/3. Demo - Introducing NumPy.vtt 6.7 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/3. Vector and Raster Images.vtt 6.7 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/2. Running Hosted Jupyter Notebooks on the Cloud.vtt 6.7 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/5. Demo - List Slicing Operations and List Functions.vtt 6.6 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/3. Demo - Restarting the Kernel.vtt 6.6 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/7. Demo - Introducing Tuples.vtt 6.6 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/6. Cloudera Data Science Workbench for Data Science at Scale.vtt 6.5 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/6. Demo - Using Python 2 and Python 3 Kernels.vtt 6.5 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/5. Demo - Notebook Limits and Shutting down Kernels.vtt 6.5 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/3. Demo - Getting Started with Azure Notebooks.vtt 6.5 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/3. Exploratory Data Analysis Strategy.vtt 6.5 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/12. Demo - Continue and Pass.vtt 6.4 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/10. Demo - Visualizing Relationships in Data.vtt 6.4 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/02. Understanding the HTML, CSS and Structure of Our Target Page.vtt 6.4 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/06. Demo - Installing Anaconda Python on Windows.vtt 6.4 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/08. Building the Scraper Module Using PyCharm.vtt 6.3 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/05. Python Packages.vtt 6.3 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/06. Demo - Windows - Installing Python and Using Pip to Install Packages.vtt 6.2 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/09. Demo - Line Magic and Cell Magic Commands.vtt 6.2 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/7. Demo - Setting up a SageMaker Notebook Instance on AWS.vtt 6.2 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/01. A Primer on HTML and CSS.vtt 6.2 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/3. Loading Data Using SQLAlchemy.vtt 6.1 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/4. Merging Datasets.vtt 6.1 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/08. Demo - MacOS - Using Pip to Install Packages.vtt 6.1 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/5. Importing Data from Relational Databases with pandas (MySQL).vtt 6.1 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/2. Jupyter on the Cloud.vtt 6.1 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/06. Demo - Executing Code in Jupyter.vtt 6.0 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/10. Demo - Exploring Interactive Widgets.vtt 6.0 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/5. Inserting Data - Single and Multiple Rows.vtt 6.0 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/07. Constructing a Funnel Visualization.vtt 6.0 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/09. Solid Gauge Plots.vtt 6.0 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/07. Demo - MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Instal.vtt 5.9 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/3. Replacing Bad Data with NaN.vtt 5.9 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/02. Plotting Histograms.vtt 5.9 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/02. Introducing Jupyter Notebooks.vtt 5.9 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/08. Introducing XY Plots.vtt 5.9 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/12. Demo - Using Online Editors to Write Python Code.vtt 5.8 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/11. Demo - Simple Strings and Multi-line Strings.vtt 5.8 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/3. Rendering Charts to Specialized Formats.vtt 5.8 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/4. Reviewing Our Hypothesis.vtt 5.7 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/04. Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.vtt 5.7 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/5. Create Frequency Table with the Crosstab Function.vtt 5.7 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/07. Demo - MacOS - Using Brew to Install Python 3.vtt 5.7 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/4. The SVG Format.vtt 5.6 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/03. Demo - Introducing the Google Colab Interface.vtt 5.6 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/2. Introducing Pygal.vtt 5.5 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/3. Demo - Why and How to Use the GroupBy Function.vtt 5.5 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/04. Using BeautifulSoup4 to Navigate Our Scraped Data.vtt 5.4 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/05. Object-relational Mapper (ORM) and Classical Mapping.vtt 5.4 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/4. Using Jupyter Notebook for Data Science.vtt 5.3 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/5. Investigating Relationships between MPG and Weight.vtt 5.3 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/10. Demo - Editing a Python Script Using Nano and Vim.vtt 5.3 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/5. Filtering Data with str.contains.vtt 5.3 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/09. Demo - Installing and Working with Virtual Environments.vtt 5.3 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/2. Viewing and Converting Types.vtt 5.3 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/5. Visualizing and Graphing Data with Matplotlib.vtt 5.2 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/5. Dropping Rows of Data.vtt 5.2 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/03. Connecting to Databases - Connectors and the Connection String.vtt 5.2 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/5. Demo - Exploring and Working with Azure Notebooks.vtt 5.2 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/4. Demo - Customizing Shortcuts.vtt 5.1 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/05. Demo - Installing the Python 2 Kernel along with Python 3.vtt 5.1 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/5. Building Sparklines.vtt 5.1 kBA2. Python for Data Analysts (Janani Ravi, 2019)/playlist.m3u 5.0 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/9. Telling a Data Story to Explain Our Discoveries.vtt 5.0 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/03. Demo - Windows Installing Anaconda and Running Jupyter Notebooks.vtt 4.9 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/03. Python for Data Analysts.vtt 4.9 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/02. Exploring Popular IDEs for Python.vtt 4.9 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/06. Demo - Modification of Complex Types within Functions.vtt 4.8 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/2. Installing and Importing SQLAlchemy.vtt 4.8 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/3. The Complicated Difference between Dynamic and Static Web Pages.vtt 4.8 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/2. Reading SAS Files with pandas.vtt 4.8 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/08. Demo - Using For Loops with the Range Function.vtt 4.7 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/2. Demo - Working with the Math Module.vtt 4.7 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/06. Demo - If-elif for Multiple Conditional Checks.vtt 4.7 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/6. The How Parameter.vtt 4.7 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/11. Demo - Editing a Python Script Using SublimeText.vtt 4.6 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/03. Demo - Passing Input Arguments to Functions.vtt 4.6 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/12. Demo - Prototyping a Classifier.vtt 4.5 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/7. Working with Databases in Python Using an IDE.vtt 4.5 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/5. Merge Keys.vtt 4.4 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/05. Extracting Information from a Scraped Division.vtt 4.3 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/4. Create Dummy Variables with Pandas.vtt 4.3 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/11. Demo - Anomaly Detection.vtt 4.3 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/1. Leveraging a Python IDE for Data Science.vtt 4.3 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/2. Getting a Data Overview with Pandas.vtt 4.3 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/2. Leveraging Data Science and Scientific Tools in PyCharm.vtt 4.3 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/4. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.vtt 4.2 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/8. Unit Testing with an IDE.vtt 4.2 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/5. Transforming Data.vtt 4.2 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/4. Renaming Columns.vtt 4.2 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/02. Introducing Big ML.vtt 4.2 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/7. Demo - Using R and Python 3 Kernels.vtt 4.2 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/1. Up and Running with SQLAlchemy.vtt 4.2 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/6. Reading Pickle Files.vtt 4.2 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/02. Picking a Database.vtt 4.1 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/3. Demo - Convert Categorical Values Using One-hot Encoding.vtt 4.1 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/1. Introduction.vtt 4.1 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/3. Aggregating Data.vtt 4.1 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/4. Normalizing Data.vtt 4.1 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/9. Takeaway.vtt 4.1 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/4. Reading HDF5 Files.vtt 4.1 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/4. Using .iloc to Access Specific Rows or Columns.vtt 4.1 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/2. One-hot Encoding.vtt 4.0 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/2. Introduction to Data Reshaping.vtt 4.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/05. Demo - Using if with Lists and Dictionary Elements.vtt 4.0 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/playlist.m3u 3.9 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/1. General Strategies for Scraping Web Pages.vtt 3.9 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/2. Code Editors vs. Integrated Development Environments.vtt 3.8 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/5. Demo - Save, Checkpoint, and Export Notebooks.vtt 3.8 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/08. Demo - Assigning Default Values for Input Arguments.vtt 3.8 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/4. Demo - Introducing Pandas.vtt 3.7 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/04. Demo - Colab Notebooks—Similar yet Different.vtt 3.7 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/06. Using Selectors as an Alternative to the Find Method.vtt 3.7 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/11. Representing Negative Values in a Dot Plot.vtt 3.7 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/4. Filter and Transform with GroupBy.vtt 3.7 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/09. Demo - Summary Statistics and Basic Analysis.vtt 3.7 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/03. Coming up with a Strategy for a More Complicated Web Page.vtt 3.6 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/7. Importing Relational Data.vtt 3.6 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/1. Module Overview.vtt 3.6 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/3. Data Indexing with .loc.vtt 3.6 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/6. Demo - Concatenating and Copying Lists.vtt 3.6 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/06. Demo - Accessing Google Drive Contents from Colab.vtt 3.6 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/3. Creating Tables.vtt 3.6 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/2. The GroupBy Function.vtt 3.5 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/4. Deleting Data from a Database.vtt 3.5 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/4. Demo - Uploading Notebooks to SageMaker and Using the Terminal Window.vtt 3.5 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/2. Direct Filtering with Square Brackets.vtt 3.5 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/2. Dropping Columns.vtt 3.5 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/6. Working with PostgreSQL with psycopg2 and SQLAlchemy.vtt 3.5 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/7. Testing the Flask App.vtt 3.5 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/5. Reshape Data Using the Stack and Unstack Functions.vtt 3.5 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/3. Reshape Long Data to Wide Data with the Pivot Function.vtt 3.4 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/1. Exporting Scraped Data to a CSV File.vtt 3.4 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/playlist.m3u 3.4 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/5. Final Takeaway/1. Final Takeaway.vtt 3.3 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/1. Introduction.vtt 3.3 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/09. Demo - Integrating with Github.vtt 3.3 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/2. Creating Databases.vtt 3.3 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt 3.2 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/6. Points to Consider for Data Normalization and Summary.vtt 3.2 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/6. Filtering Data.vtt 3.2 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/1. Introduction.vtt 3.2 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/09. Demo - Iterating over Dictionary Elements Using a For Loop.vtt 3.2 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/playlist.m3u 3.2 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/5. Takeaway.vtt 3.1 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/6. Final Takeaway/1. Final Takeaway.vtt 3.1 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/5. Demo - Grouping Multi-index Data.vtt 3.1 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt 3.1 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/7. Demo - Uploading Files and Running Code on GCP.vtt 3.1 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/5. Z-score Normalization.vtt 3.0 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/1. Course Overview/1. Course Overview.vtt 3.0 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/7. Review.vtt 3.0 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/8. Understanding Brands and Territories with Text Processing.vtt 3.0 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/9. Summary and Further Study.vtt 2.9 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/09. Working with Hierarchical Tables.vtt 2.9 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/3. Changing Column Casing.vtt 2.9 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt 2.9 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/7. Looking at MPG over the Years.vtt 2.9 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/8. Summary and Further Study.vtt 2.9 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/1. Course Overview/1. Course Overview.vtt 2.9 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/02. Introducing Google Colab.vtt 2.9 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/2. Normalizing Data - What and Why.vtt 2.8 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/6. Understanding How Cylinders and Displacement Are Related.vtt 2.8 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/01. Module Overview.vtt 2.8 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/1. Module Overview.vtt 2.8 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/3. Reading Stata Files with pandas.vtt 2.7 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/7. Demo - Disambiguating Merged Columns and Updating Dataframes.vtt 2.7 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/1. Course and Module Introduction.vtt 2.7 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/8. Summary.vtt 2.7 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/9. Module Summary.vtt 2.7 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/07. Advice and Strategy for Scraping.vtt 2.7 kBA2. Python for Data Analysts (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt 2.7 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/06. Demo - Splitting into Training and Test Subsets.vtt 2.7 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/6. Loading a CSV into a Table.vtt 2.7 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/1. Course Overview/1. Course Overview.vtt 2.7 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/08. Demo - Evaluating Models.vtt 2.7 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/4. Reshape Wide Data to Long Using the Melt Function.vtt 2.7 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/playlist.m3u 2.6 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/6. Reshaping and Aggregation with Pivot Table.vtt 2.6 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/02. Prerequisites and Course Outline.vtt 2.6 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/10. Summary and Further Study.vtt 2.6 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/3. Working with an IDE Built for Scientific Python - Spyder.vtt 2.6 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/5. Using Apache Zeppelin for Data Science.vtt 2.6 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/10. Refactoring Our Code and Caching Our Scraped Data.vtt 2.5 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/1. Course Overview/1. Course Overview.vtt 2.5 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/1. Course Overview/1. Course Overview.vtt 2.5 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/2. Stripping White Space.vtt 2.5 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/playlist.m3u 2.5 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/13. Module Summary.vtt 2.4 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/playlist.m3u 2.4 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/5. Review.vtt 2.4 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/01. Module Overview.vtt 2.4 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/03. Demo - Getting Started with Big ML.vtt 2.4 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/4. Min-max Scaling.vtt 2.4 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/1. Course Overview/1. Course Overview.vtt 2.4 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/~i.txt 2.4 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/10. Module Summary.vtt 2.4 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/01. Overview.vtt 2.4 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/6. Review.vtt 2.3 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/9. Module Summary.vtt 2.3 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/3. Taking Advantage of pandas DataFrames When Querying sqlite.vtt 2.3 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/1. Course Overview/1. Course Overview.vtt 2.3 kBA2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/10. Module Summary.vtt 2.3 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/7. Review.vtt 2.3 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/02. Prerequisites and Course Outline.vtt 2.3 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/7. Module Summary.vtt 2.3 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/12. Module Summary.vtt 2.3 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/10. Module Summary.vtt 2.3 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/playlist.m3u 2.3 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/01. Module Overview.vtt 2.3 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/5. Deleting Tables.vtt 2.3 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/1. Module Overview.vtt 2.2 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/~i.txt 2.2 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/1. Module Overview.vtt 2.2 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/5. Reading Matlab Files.vtt 2.2 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/10. Takeaway.vtt 2.2 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/01. Module Overview.vtt 2.2 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/03. Prerequisites and Course Outline.vtt 2.2 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/01. Module Overview.vtt 2.2 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/12. Module Summary.vtt 2.1 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/3. Simple Feature Scaling.vtt 2.1 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/5. Import Data into Python from Excel Files/1. Importing Data into Python from Excel Files.vtt 2.1 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/1. Module Overview.vtt 2.1 kBA2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/9. Module Summary.vtt 2.1 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/01. Module Overview.vtt 2.1 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/4. Filling Missing Data with a Value.vtt 2.0 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/09. Dealing with Missing Data during the Scrape.vtt 2.0 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/01. Module Overview.vtt 2.0 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/1. Introduction.vtt 2.0 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/8. Summary.vtt 2.0 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/01. Querying with SQLAlchemy.vtt 2.0 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/1. Overview.vtt 2.0 kBA4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/~i.txt 2.0 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/01. Module Overview.vtt 2.0 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/playlist.m3u 2.0 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/playlist.m3u 2.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/1. Module Overview.vtt 2.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/01. Module Overview.vtt 2.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/02. Prerequisites and Course Outline.vtt 2.0 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/1. Importing Data into Python from JSON and XML Files.vtt 2.0 kBA2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/13. Module Summary.vtt 1.9 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/02. Module Overview.vtt 1.9 kBA2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/12. Module Summary.vtt 1.9 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/6. Takeaway.vtt 1.9 kBA2. Python for Data Analysts (Janani Ravi, 2019)/~i.txt 1.9 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/6. Summary and Feedback.vtt 1.9 kBC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/14. Module Summary.vtt 1.9 kBA1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/~i.txt 1.8 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/08. Using Joins.vtt 1.8 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/2. Software and Course Prerequisites.vtt 1.8 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/7. Takeaway.vtt 1.8 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/1. Module Introduction.vtt 1.8 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/1. Module Introduction.vtt 1.8 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/1. Creating Databases with SQLAlchemy.vtt 1.7 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/3. Correlated Updates.vtt 1.7 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/~i.txt 1.7 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/playlist.m3u 1.7 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/6. Takeaway.vtt 1.6 kBA3. Programming Python Using an IDE (Xavier Morera, 2019)/~i.txt 1.6 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/1. Manipulating Databases with SQLAlchemy.vtt 1.6 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/04. Querying with SQL.vtt 1.6 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/7. Takeaway.vtt 1.6 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/1. Importing Data into Python from Relational Databases.vtt 1.5 kBB3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/~i.txt 1.5 kBC1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/~i.txt 1.4 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/~i.txt 1.4 kBC2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/~i.txt 1.4 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/1. Overview.vtt 1.4 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/1. Module Introduction.vtt 1.3 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/1. Importing Data into Python from Common Binary Data File Formats.vtt 1.2 kBB1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/1. Importing CSV Data into Python Using csv and pandas.vtt 1.2 kBB2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/1. Module Introduction.vtt 1.2 kBB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/10. Summary.vtt 931 BytesB2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/7. Summary.vtt 884 Bytes~i.txt 816 BytesB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/01. Overview.vtt 799 BytesB4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/13. Summary.vtt 628 BytesC3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/01. Version Check.vtt 7 Bytes Pluralsight - Pluralsight Originals - Design from... 406.7 MB [FreeCoursesOnline.Me] Pluralsight - Pluralsight... 691.1 MB [CourseClub.Me] Pluralsight - Pluralsight - VueJS Learning Path 2.4 GB Pluralsight - Exploring C Sharp 6 with Jon Skeet 860.3 MB Pluralsight - Java Platform - Working with Databases Using JDBC 422.5 MB
PluralSight Ethical Hacking Hacking Web Servers... 400.3 MB [Pluralsight] Introduction to Visual Studio 2013 - Part I 847.4 MB Pluralsight - WCF Power Topics 1.7 GB Pluralsight - Authoring Sci-fi Visual Effects in Unity 5 760.2 MB PluralSight Design Patterns Library tutorialkhan.com.rar 1.9 GB
Andor [HDTV 720p][Cap.205] 8145次下载
Cap
HDTV
720p
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载
2024
WEB
DL
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-EniaHD.mkv 5077次下载
WEB
DL
DDP5
The.Super.Cube.S01E09.1080p.iQ.WEB-DL.AAC2.0.H.264-VARYG.mkv 5040次下载
WEB
DL
Cube
Star.Wars.Andor.S02E05.I.Have.Friends.Everywhere.1080p.DS... 4944次下载
WEB
DL
Star
新桥恋人.电影港 地址发布页 www.dygang.me 收藏不迷路 4365次下载
me
www
发布页
Night at the Museum Battle of the Smithsonian 2009 2160p... 4161次下载
KiNGDOM
WEB
DL
www.UIndex.org - ... 4126次下载
www
MeGusta
HEVC
Palma.2.2024.WEB-DL.1080p.ExKinoRay.mkv 4000次下载
WEB
DL
2.2024
Guns N' Roses - Greatest Hits Live Broadcast Collection... 3915次下载
Live
Remastered
Hits
Andor [HDTV 720p][Cap.205] 8145次下载
Cap
HDTV
720p
(同人CG集) [白色絵の具 (無味ムスミ)] 友達の母が巨乳で金髪の淫乱美女でした.zip 6346次下载
zip
巨乳
CG
You.S05E02.720p.HEVC.x265-MeGusta[EZTVx.to].mkv 6221次下载
S05E02
HEVC
720p
up-mod-minecraft-play-with-friends-v1-21-80-28-... 6023次下载
982108028
mod
play
the.last.of.us.s02e02.1080p.web.h264-successful... 5335次下载
web
last
h264
异世降临.6v电影 地址发布页 www.6v123.net 收藏不迷路 5220次下载
www
发布页
6v123
Opasnaya.blizost.S01.2025.WEB-DL.1080p 5127次下载
WEB
DL
S01
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载
2024
WEB
DL
Andor.S02E02.Sagrona.Teema.1080p.HEVC.x265-MeGu... 5100次下载
HEVC
Andor
mkv
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-E... 5077次下载
WEB
DL
DDP5
Shoot.Paragon.1970.DVDRip.XviD-AFO [NO-RAR] -...
Shoot
www
AFO
DASS-041-U
DASS
041
www.UIndex.org - Andy Richter Controls...
www
Episode
S01E04
[AniDub]_Sora_Kara_Furu_Ichioku_no_Hoshi_[Oriko_Qbiq]
Furu
no
Oriko
[BEST-TORRENTS.COM]...
Cheese
DL
2160p
【成人抖音-黑料-换妻-直播-手机搜7t7a.cc】麻豆传媒映画・爆操黑丝车模小姐姐・超级圆润...
麻豆
小姐姐
车模
Por siempre [HDTV 720p][Cap.106]
siempre
720p
Cap
Workaholics.S04E01.Season.4.Episode.1.WEBRip.72...
Workaholics
Episode
HoC
MobLand.S01E01.1080P.ENG.ITA.H264-TheBlackKing.mkv
ENG
H264
ITA
43606101 - Public Dick Flash Compilation..mp4
Dick
..
Compilation
吃瓜！去欧美留学的林淑瑶 ️被欧美大鸡巴驯化3P大战被洋吊深喉狂艹！
欧美
3P
被洋
Hellraiser III Hell On Earth 1992 1080p BluRay...
5.1
1992
AAC
Ghosts S04E21 Kyle 1080p PMTP WEB-DL DDP5 1 H...
WEB
DL
STC
[Gecko] Araiguma Calcal-dan - S01E07...
WEB
DL
AAC
salamander-2-salamander-deluxe-pack-play-statio...
salamander
play
full
Catalina Cruz live cam show pack
Catalina
show
live
SDMU-534
534
SDMU
dccdom.com@MIDV111C
com
MIDV111C
dccdom