O'Reilly - Introduction to Pandas for Developers

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O'Reilly - Introduction to Pandas for Developers

磁力链接/BT种子简介

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文件大小： 1.07G
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收录时间：2017-02-12
最近下载：2025-07-03

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文件列表

  • 01. Introduction/01_01-What Is Pandas.mp4 6.9 MB
  • 01. Introduction/01_02-About The Author.mp4 2.2 MB
  • 01. Introduction/01_03-Installation.mp4 11.1 MB
  • 01. Introduction/01_04-Pandas Vs. Other Platforms.mp4 5.6 MB
  • 01. Introduction/01_05-How To Access Your Working Files.mp4 27.7 MB
  • 02. Basic Series/02_01-Python Lists.mp4 4.6 MB
  • 02. Basic Series/02_02-Numpy 1D Arrays.mp4 14.3 MB
  • 02. Basic Series/02_03-Pandas Series.mp4 10.6 MB
  • 02. Basic Series/02_04-Boolean Arrays.mp4 11.1 MB
  • 02. Basic Series/02_05-Series Index.mp4 10.4 MB
  • 03. More Series/03_01-Data Types.mp4 8.3 MB
  • 03. More Series/03_02-Iteration.mp4 9.3 MB
  • 03. More Series/03_03-Broadcasting Operations.mp4 14.2 MB
  • 03. More Series/03_04-Crud Operations Reading.mp4 19.9 MB
  • 03. More Series/03_05-Crud Operations Update.mp4 18.3 MB
  • 03. More Series/03_06-Crud Operations Deletion.mp4 6.6 MB
  • 03. More Series/03_07-Summary Statistics.mp4 15.7 MB
  • 03. More Series/03_08-Dealing With Duplicates.mp4 19.1 MB
  • 03. More Series/03_09-Dealing With Nan.mp4 18.8 MB
  • 03. More Series/03_10-Plotting.mp4 10.1 MB
  • 03. More Series/03_11-Serialization.mp4 12.2 MB
  • 04. Dataframe Basics/04_01-Columnar Data.mp4 9.4 MB
  • 04. Dataframe Basics/04_02-Similarities To Python Dictionaries.mp4 15.0 MB
  • 04. Dataframe Basics/04_03-Creation From Lists And Dicts.mp4 12.2 MB
  • 04. Dataframe Basics/04_04-Reading CSV Files.mp4 5.1 MB
  • 05. Relational Algebra/05_01-Selection.mp4 25.9 MB
  • 05. Relational Algebra/05_02-Projection.mp4 10.8 MB
  • 05. Relational Algebra/05_03-Cartesian Product.mp4 22.7 MB
  • 05. Relational Algebra/05_04-Union.mp4 13.1 MB
  • 05. Relational Algebra/05_05-Difference.mp4 9.2 MB
  • 06. More Dataframes/06_01-Exploring Data.mp4 11.6 MB
  • 06. More Dataframes/06_02-Axes Of Dataframes.mp4 6.1 MB
  • 06. More Dataframes/06_03-Index And Columns.mp4 9.8 MB
  • 06. More Dataframes/06_04-Summary Statistics.mp4 11.9 MB
  • 06. More Dataframes/06_05-Histograms.mp4 17.6 MB
  • 06. More Dataframes/06_06-Transposing Data.mp4 5.8 MB
  • 07. Tweaking Dataframes/07_01-Adding Rows.mp4 19.3 MB
  • 07. Tweaking Dataframes/07_02-Adding Columns.mp4 7.5 MB
  • 07. Tweaking Dataframes/07_03-Applying Functions To Columns.mp4 12.3 MB
  • 07. Tweaking Dataframes/07_04-Removing Columns.mp4 7.5 MB
  • 07. Tweaking Dataframes/07_05-Sorting Data.mp4 23.1 MB
  • 07. Tweaking Dataframes/07_06-Iteration Over Data.mp4 16.7 MB
  • 07. Tweaking Dataframes/07_07-Setting Data.mp4 19.2 MB
  • 08. Joins/08_01-Concat With Rows.mp4 11.0 MB
  • 08. Joins/08_02-Concat With Cols.mp4 6.1 MB
  • 08. Joins/08_03-Inner Join.mp4 7.7 MB
  • 08. Joins/08_04-Outer Join.mp4 10.9 MB
  • 08. Joins/08_05-Left Join.mp4 8.0 MB
  • 08. Joins/08_06-Right Join.mp4 4.3 MB
  • 08. Joins/08_07-Join On Index.mp4 8.3 MB
  • 09. Filtering Dataframes/09_01-Filtering Columns.mp4 7.5 MB
  • 09. Filtering Dataframes/09_02-Boolean Arrays.mp4 3.1 MB
  • 09. Filtering Dataframes/09_03-Filtering Rows.mp4 2.6 MB
  • 09. Filtering Dataframes/09_04-Using Functions To Filter.mp4 10.8 MB
  • 09. Filtering Dataframes/09_05-Boolean Operations For Filtering.mp4 8.5 MB
  • 09. Filtering Dataframes/09_06-Dealing With Nan.mp4 10.3 MB
  • 10. Grouping/10_01-Basic Grouping.mp4 10.8 MB
  • 10. Grouping/10_02-More Grouping.mp4 11.5 MB
  • 10. Grouping/10_03-Pivoting.mp4 15.4 MB
  • 10. Grouping/10_04-StackingUnstacking.mp4 8.0 MB
  • 11. Serialization/11_01-CSV Reading And Writing.mp4 21.2 MB
  • 11. Serialization/11_02-JSON.mp4 22.1 MB
  • 11. Serialization/11_03-Pickle.mp4 6.6 MB
  • 11. Serialization/11_04-Numpy.mp4 8.0 MB
  • 11. Serialization/11_05-Excel.mp4 12.8 MB
  • 12. Plotting/12_01-Basic Plotting.mp4 18.7 MB
  • 12. Plotting/12_02-Histograms.mp4 23.5 MB
  • 12. Plotting/12_03-Bar Plots.mp4 10.4 MB
  • 12. Plotting/12_04-Line Plots.mp4 13.4 MB
  • 12. Plotting/12_05-Faceting.mp4 17.8 MB
  • 13. Time Series/13_01-Date Manipulation.mp4 21.9 MB
  • 13. Time Series/13_02-Window Functions.mp4 21.1 MB
  • 13. Time Series/13_03-Plotting.mp4 6.1 MB
  • 14. Machine Learning/14_01-Using Pandas With ScikitLearn.mp4 18.9 MB
  • 14. Machine Learning/14_02-Sample Regression.mp4 16.3 MB
  • 15. Sample Application/15_01-Crawling Data.mp4 40.1 MB
  • 15. Sample Application/15_02-Crawling Data Part 2.mp4 23.5 MB
  • 15. Sample Application/15_03-Munging Data.mp4 24.4 MB
  • 15. Sample Application/15_04-Munging Data Part 2.mp4 24.6 MB
  • 15. Sample Application/15_05-Plotting Data.mp4 43.1 MB
  • 15. Sample Application/15_06-Creating An Infographic.mp4 26.0 MB
  • 15. Sample Application/15_07-Creating An Infographic Part 2.mp4 20.4 MB
  • 16. Conclusion/16_01-Conclusion.mp4 944.3 kB
  • Working Files/Introduction_to_Pandas_for_Developers_Working_Files.zip 12.0 MB

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