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1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4 37.0 MB
1. Installation and Setup/1. Introduction to the Course.mp4 35.7 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 33.5 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 28.7 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 27.2 MB
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 27.1 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 26.8 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 26.7 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 25.6 MB
3. DataFrames I/11. The .astype() Method.mp4 25.0 MB
8. GroupBy/2. First Operations with groupby Object.mp4 24.2 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 24.0 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 23.8 MB
7. MultiIndex/14. The .pivot_table() Method.mp4 23.2 MB
1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 23.2 MB
8. GroupBy/7. Iterating through Groups.mp4 22.4 MB
2. Series/7. Import Series with the .read_csv() Method.mp4 22.2 MB
7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 22.1 MB
9. Merging, Joining, and Concatenating/8. Left Joins.mp4 22.0 MB
5. DataFrames III/8. Set Multiple Values in DataFrame.mp4 21.6 MB

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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
12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB

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~Get Your Files Here !/02 Working with Different Kinds of Datasets/002 Reading data from Excel files.mp4 205.7 MB
~Get Your Files Here !/02 Working with Different Kinds of Datasets/001 Using advanced options while reading data from CSV files.mp4 165.8 MB
~Get Your Files Here !/05 Visualizing Data Like a Pro/001 Controlling plot aesthetics.mp4 153.5 MB
~Get Your Files Here !/02 Working with Different Kinds of Datasets/003 Reading data from other popular formats.mp4 147.6 MB
~Get Your Files Here !/03 Data Selection/004 Applying multiple filter criteria to a pandas DataFrame.mp4 145.2 MB
~Get Your Files Here !/04 Manipulating, Transforming, and Reshaping Data/002 Using the groupby method.mp4 133.7 MB
~Get Your Files Here !/04 Manipulating, Transforming, and Reshaping Data/003 Handling missing values in pandas.mp4 110.7 MB
~Get Your Files Here !/04 Manipulating, Transforming, and Reshaping Data/001 Modifying a pandas DataFrame using the inplace parameter.mp4 110.5 MB
~Get Your Files Here !/03 Data Selection/002 Sorting a pandas DataFrame.mp4 109.5 MB
~Get Your Files Here !/05 Visualizing Data Like a Pro/004 Plotting with Data-Aware Grids.mp4 104.8 MB
~Get Your Files Here !/04 Manipulating, Transforming, and Reshaping Data/007 Working with date and time series data.mp4 102.1 MB
~Get Your Files Here !/03 Data Selection/005 Using the axis parameter in pandas.mp4 99.8 MB
~Get Your Files Here !/04 Manipulating, Transforming, and Reshaping Data/009 Merging and concatenating multiple DataFrames into one.mp4 88.5 MB
~Get Your Files Here !/05 Visualizing Data Like a Pro/002 Choosing the colors for plots.mp4 86.9 MB
~Get Your Files Here !/04 Manipulating, Transforming, and Reshaping Data/005 Renaming columns in a pandas DataFrame.mp4 86.8 MB
~Get Your Files Here !/03 Data Selection/003 Filtering rows of a pandas DataFrame.mp4 85.5 MB
~Get Your Files Here !/03 Data Selection/007 Changing the datatype of a pandas series.mp4 78.2 MB
~Get Your Files Here !/04 Manipulating, Transforming, and Reshaping Data/006 Removing columns from a pandas DataFrame.mp4 74.6 MB
~Get Your Files Here !/04 Manipulating, Transforming, and Reshaping Data/004 Indexing in pandas DataFrames.mp4 73.6 MB
~Get Your Files Here !/03 Data Selection/006 Using string methods in pandas.mp4 64.5 MB

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【影视】 [DesireCourse.Net] Udemy - Data Analysis with Pandas and Python

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1. Installation and Setup/7. Mac OS - Update Anaconda Libraries.mp4 37.0 MB
1. Installation and Setup/1. Introduction to the Course.mp4 35.7 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 33.5 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 28.7 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 27.2 MB
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 27.1 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 26.8 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 26.7 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 25.6 MB
3. DataFrames I/11. The .astype() Method.mp4 25.0 MB
8. GroupBy/2. First Operations with groupby Object.mp4 24.2 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 24.0 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 23.8 MB
7. MultiIndex/14. The .pivot_table() Method.mp4 23.2 MB
1. Installation and Setup/8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 23.2 MB
8. GroupBy/7. Iterating through Groups.mp4 22.4 MB
1. Installation and Setup/2. About Me.mp4 22.3 MB
2. Series/7. Import Series with the .read_csv() Method.mp4 22.2 MB
7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 22.1 MB
9. Merging, Joining, and Concatenating/8. Left Joins.mp4 22.0 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
03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
03 Data Visualization/004 titanic_train.csv 60.3 kB
03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
[FreeCourseLab.com].url 126 Bytes

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1. Installation and Setup/7. MacOS - Create Conda Environment and Install Pandas.mp4 117.9 MB
1. Installation and Setup/11. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
1. Installation and Setup/6. MacOS - Access the Terminal.mp4 76.6 MB
1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 49.7 MB
1. Installation and Setup/10. Windows - Install Anaconda Distribution.mp4 40.5 MB
1. Installation and Setup/1. Introduction to the Course.mp4 35.7 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 33.5 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 28.7 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 27.2 MB
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 27.1 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 26.8 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 26.7 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 25.6 MB
3. DataFrames I/11. The .astype() Method.mp4 25.0 MB
8. GroupBy/2. First Operations with groupby Object.mp4 24.2 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 24.0 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 23.8 MB
7. MultiIndex/14. The .pivot_table() Method.mp4 23.2 MB

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03. Python 3 on Raspberry Pi/4. Raspbian OS Installation Part 1.mp4 240.4 MB
11. Array Manipulation Routines/1. Array Manipulation Routines.mp4 198.8 MB
03. Python 3 on Raspberry Pi/5. Raspbian OS Installation Part 2.mp4 192.8 MB
18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.1 MB
07. Jupyter Notebook/6. A brief tour of Jupyter.mp4 160.4 MB
14. Plotting in detail/3. Grid Axes and Labels.mp4 138.2 MB
08. Getting Started with NumPy/2. Ndarrays, Indexing, and Slicing.mp4 135.4 MB
03. Python 3 on Raspberry Pi/6. Remote connection with VNC.mp4 128.7 MB
18. Python and MySQL/4. Exploring SQL Workbench.mp4 117.6 MB
17. Data Acquisition with Python, NumPy, and Matplotlib/3. Handling Excel File.mp4 116.4 MB
07. Jupyter Notebook/1. Jupyter and IPython.mp4 116.3 MB
19. Series and DataFrame in Pandas/2. Pandas Dataframe.mp4 110.3 MB
09. Creation of Arrays and Matplotlib/4. Numerical Rages Visualised.mp4 107.8 MB
18. Python and MySQL/6. Connect MySQL with Python 3.mp4 102.8 MB
16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp4 98.5 MB
18. Python and MySQL/7. Execute DDL.mp4 96.4 MB
18. Python and MySQL/8. INSERT.mp4 95.7 MB
04. Basics of Python 3/4. IDLE.mp4 95.5 MB
19. Series and DataFrame in Pandas/1. Pandas Series.mp4 91.2 MB
20. Data Acquisition with Pandas/5. Pandas and Web.mp4 91.1 MB

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