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【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

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1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
6. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
2. BONUS Python Crash Course/7. Custom Functions.mp4 59.2 MB
2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4 58.3 MB
11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
2. BONUS Python Crash Course/11. Dictionaries.mp4 56.4 MB
2. BONUS Python Crash Course/4. Operators.mp4 53.1 MB
4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
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01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
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1. Introduction/1. Introduction to Pandas with Python.mp4 38.9 MB
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2. Data Set/1. Understanding Jupiter Environment.vtt 4.3 kB
2. Data Set/2. Reading the Data Set.mp4 61.9 MB
2. Data Set/2. Reading the Data Set.vtt 9.3 kB
2. Data Set/3. Series and Data Frame.mp4 21.7 MB
2. Data Set/3. Series and Data Frame.vtt 3.7 kB
2. Data Set/4. Operations in Data Set.mp4 26.7 MB
2. Data Set/4. Operations in Data Set.vtt 4.1 kB
2. Data Set/5. More on Panda Functions.mp4 49.5 MB
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2. Data Set/6. Column Names and Operation.mp4 82.5 MB
2. Data Set/6. Column Names and Operation.vtt 9.6 kB
2. Data Set/7. Removing Columns and Rows.mp4 22.5 MB
2. Data Set/7. Removing Columns and Rows.vtt 2.9 kB
2. Data Set/8. Sorting Data Frame.mp4 30.7 MB
2. Data Set/8. Sorting Data Frame.vtt 2.9 kB
2. Data Set/9. Filtering Data.mp4 61.8 MB
2. Data Set/9. Filtering Data.vtt 7.8 kB

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【影视】 [ FreeCourseWeb.com ] RealPython - Real Python - Sorting Data in Python With Pandas

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【影视】 [ FreeCourseWeb.com ] Udemy - Pandas with Python for Data Science

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~Get Your Files Here !/4. Azure Data Lake/14. Example on Pivot Table.mp4 79.5 MB
~Get Your Files Here !/4. Azure Data Lake/7. Stacking and Unstacking.mp4 72.8 MB
~Get Your Files Here !/3. Data Analysis/22. Concept of Dummy Coding.mp4 71.5 MB
~Get Your Files Here !/4. Azure Data Lake/11. More Options with Crosstab.mp4 68.9 MB
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~Get Your Files Here !/4. Azure Data Lake/2. Merging Data Frames.mp4 62.9 MB
~Get Your Files Here !/3. Data Analysis/25. Functions for Date and Time.mp4 62.4 MB
~Get Your Files Here !/3. Data Analysis/15. Functions of iX Method.mp4 61.7 MB
~Get Your Files Here !/3. Data Analysis/18. Reducing the Space.mp4 61.7 MB
~Get Your Files Here !/4. Azure Data Lake/6. Working with Interpolate Method.mp4 60.5 MB
~Get Your Files Here !/4. Azure Data Lake/10. More on Crosstab.mp4 60.4 MB
~Get Your Files Here !/4. Azure Data Lake/13. Pivot Table Method.mp4 57.2 MB
~Get Your Files Here !/2. Data Set/2. Reading the Data Set.mp4 53.7 MB
~Get Your Files Here !/4. Azure Data Lake/16. Using Excel Functions.mp4 52.6 MB
~Get Your Files Here !/4. Azure Data Lake/15. Data Frame to CSV File.mp4 52.5 MB
~Get Your Files Here !/4. Azure Data Lake/5. Importing Time Series Data.mp4 49.8 MB
~Get Your Files Here !/4. Azure Data Lake/3. Shaping a Data Frame.mp4 48.8 MB
~Get Your Files Here !/3. Data Analysis/13. Column in Index.mp4 46.9 MB
~Get Your Files Here !/3. Data Analysis/29. Formatting the Data.mp4 45.5 MB
~Get Your Files Here !/3. Data Analysis/12. Uses of Index.mp4 45.1 MB

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【影视】 [ CourseMega.com ] Pandas in Action, Video Edition

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~Get Your Files Here !/03-Chapter 1. Pandas vs. graphical spreadsheet applications.mp4 81.3 MB
~Get Your Files Here !/24-Chapter 5. The drop_duplicates method.mp4 62.3 MB
~Get Your Files Here !/34-Chapter 8. Reshaping and pivoting.mp4 60.0 MB
~Get Your Files Here !/02-Chapter 1. Introducing pandas.mp4 59.9 MB
~Get Your Files Here !/18-Chapter 4. Sorting a DataFrame.mp4 51.5 MB
~Get Your Files Here !/38-Chapter 9. Attributes and methods of a GroupBy object.mp4 49.5 MB
~Get Your Files Here !/40-Chapter 10. Merging, joining, and concatenating.mp4 49.1 MB
~Get Your Files Here !/47-Chapter 12. Imports and exports.mp4 48.7 MB
~Get Your Files Here !/41-Chapter 10. Missing values in concatenated DataFrames.mp4 48.0 MB
~Get Your Files Here !/46-Chapter 11. Coding challenge.mp4 47.6 MB
~Get Your Files Here !/09-Chapter 2. Mathematical operations.mp4 47.6 MB
~Get Your Files Here !/36-Chapter 8. Melting a data set.mp4 47.6 MB
~Get Your Files Here !/12-Chapter 3. Series methods.mp4 45.6 MB
~Get Your Files Here !/21-Chapter 5. Filtering a DataFrame.mp4 44.6 MB
~Get Your Files Here !/33-Chapter 7. Manipulating the Index.mp4 43.9 MB
~Get Your Files Here !/28-Chapter 6. Splitting strings.mp4 43.8 MB
~Get Your Files Here !/20-Chapter 4. Extracting values from Series.mp4 43.6 MB
~Get Your Files Here !/23-Chapter 5. Filtering by condition.mp4 43.6 MB
~Get Your Files Here !/48-Chapter 12. Exporting a DataFrame to a JSON file.mp4 43.4 MB
~Get Your Files Here !/52-Chapter 14. Visualization.mp4 42.5 MB

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【影视】 U*d*e*m*y Data Analysis with Python and Pandas

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01 Introduction to the Course/001 Course Introduction.mp4 84.3 MB
01 Introduction to the Course/002 Getting pandas and fundamentals.mp4 29.9 MB
02 Introduction to Pandas/003 Section intro.mp4 19.1 MB
02 Introduction to Pandas/004 Creating and Navigating a Dataframe.mp4 31.3 MB
02 Introduction to Pandas/005 Slices, head and tail.mp4 37.6 MB
02 Introduction to Pandas/006 Indexing.mp4 28.6 MB
02 Introduction to Pandas/007 Visualizing The Data.mp4 43.2 MB
02 Introduction to Pandas/008 Converting To Python List Or Pandas Series.mp4 36.2 MB
02 Introduction to Pandas/009 Section Outro.mp4 35.4 MB
03 IO Tools/010 Section intro.mp4 48.0 MB
03 IO Tools/011 Read Csv And To Csv.mp4 48.3 MB
03 IO Tools/012 io operations.mp4 25.4 MB
03 IO Tools/013 Read_hdf and to_hdf.mp4 37.0 MB
03 IO Tools/014 Read Json And To Json.mp4 53.3 MB
03 IO Tools/015 Read Pickle And To Pickle.mp4 50.0 MB
03 IO Tools/016 Section Outro.mp4 83.3 MB
04 Pandas Operations/017 Section intro.mp4 44.6 MB
04 Pandas Operations/018 Column Manipulation Operatings on columns, creating new ones.mp4 28.4 MB
04 Pandas Operations/019 Column and Dataframe logical categorization.mp4 35.5 MB
04 Pandas Operations/020 Statistical Functions Against Data.mp4 44.2 MB

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01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 86.3 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 78.9 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 65.3 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 64.6 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 63.7 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 62.5 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 62.1 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 50.9 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 50.2 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 50.1 MB

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