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O'Reilly - Introduction to Pandas for Developers

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视频 2017-3-21 17:42 2024-4-11 16:58 144 1.06 GB 83
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O'Reilly - Introduction to Pandas for Developers

文件列表
  1. 01. Introduction/01_01-What Is Pandas.mp46.61MB
  2. 01. Introduction/01_02-About The Author.mp42.13MB
  3. 01. Introduction/01_03-Installation.mp410.56MB
  4. 01. Introduction/01_04-Pandas Vs. Other Platforms.mp45.36MB
  5. 01. Introduction/01_05-How To Access Your Working Files.mp426.38MB
  6. 02. Basic Series/02_01-Python Lists.mp44.37MB
  7. 02. Basic Series/02_02-Numpy 1D Arrays.mp413.66MB
  8. 02. Basic Series/02_03-Pandas Series.mp410.13MB
  9. 02. Basic Series/02_04-Boolean Arrays.mp410.57MB
  10. 02. Basic Series/02_05-Series Index.mp49.96MB
  11. 03. More Series/03_01-Data Types.mp47.9MB
  12. 03. More Series/03_02-Iteration.mp48.87MB
  13. 03. More Series/03_03-Broadcasting Operations.mp413.52MB
  14. 03. More Series/03_04-Crud Operations Reading.mp418.99MB
  15. 03. More Series/03_05-Crud Operations Update.mp417.42MB
  16. 03. More Series/03_06-Crud Operations Deletion.mp46.28MB
  17. 03. More Series/03_07-Summary Statistics.mp414.97MB
  18. 03. More Series/03_08-Dealing With Duplicates.mp418.2MB
  19. 03. More Series/03_09-Dealing With Nan.mp417.9MB
  20. 03. More Series/03_10-Plotting.mp49.67MB
  21. 03. More Series/03_11-Serialization.mp411.61MB
  22. 04. Dataframe Basics/04_01-Columnar Data.mp48.93MB
  23. 04. Dataframe Basics/04_02-Similarities To Python Dictionaries.mp414.28MB
  24. 04. Dataframe Basics/04_03-Creation From Lists And Dicts.mp411.63MB
  25. 04. Dataframe Basics/04_04-Reading CSV Files.mp44.86MB
  26. 05. Relational Algebra/05_01-Selection.mp424.67MB
  27. 05. Relational Algebra/05_02-Projection.mp410.33MB
  28. 05. Relational Algebra/05_03-Cartesian Product.mp421.66MB
  29. 05. Relational Algebra/05_04-Union.mp412.53MB
  30. 05. Relational Algebra/05_05-Difference.mp48.74MB
  31. 06. More Dataframes/06_01-Exploring Data.mp411.03MB
  32. 06. More Dataframes/06_02-Axes Of Dataframes.mp45.86MB
  33. 06. More Dataframes/06_03-Index And Columns.mp49.32MB
  34. 06. More Dataframes/06_04-Summary Statistics.mp411.32MB
  35. 06. More Dataframes/06_05-Histograms.mp416.74MB
  36. 06. More Dataframes/06_06-Transposing Data.mp45.49MB
  37. 07. Tweaking Dataframes/07_01-Adding Rows.mp418.39MB
  38. 07. Tweaking Dataframes/07_02-Adding Columns.mp47.15MB
  39. 07. Tweaking Dataframes/07_03-Applying Functions To Columns.mp411.7MB
  40. 07. Tweaking Dataframes/07_04-Removing Columns.mp47.15MB
  41. 07. Tweaking Dataframes/07_05-Sorting Data.mp422.04MB
  42. 07. Tweaking Dataframes/07_06-Iteration Over Data.mp415.92MB
  43. 07. Tweaking Dataframes/07_07-Setting Data.mp418.31MB
  44. 08. Joins/08_01-Concat With Rows.mp410.46MB
  45. 08. Joins/08_02-Concat With Cols.mp45.79MB
  46. 08. Joins/08_03-Inner Join.mp47.3MB
  47. 08. Joins/08_04-Outer Join.mp410.42MB
  48. 08. Joins/08_05-Left Join.mp47.67MB
  49. 08. Joins/08_06-Right Join.mp44.13MB
  50. 08. Joins/08_07-Join On Index.mp47.96MB
  51. 09. Filtering Dataframes/09_01-Filtering Columns.mp47.19MB
  52. 09. Filtering Dataframes/09_02-Boolean Arrays.mp43MB
  53. 09. Filtering Dataframes/09_03-Filtering Rows.mp42.45MB
  54. 09. Filtering Dataframes/09_04-Using Functions To Filter.mp410.28MB
  55. 09. Filtering Dataframes/09_05-Boolean Operations For Filtering.mp48.12MB
  56. 09. Filtering Dataframes/09_06-Dealing With Nan.mp49.81MB
  57. 10. Grouping/10_01-Basic Grouping.mp410.27MB
  58. 10. Grouping/10_02-More Grouping.mp410.92MB
  59. 10. Grouping/10_03-Pivoting.mp414.73MB
  60. 10. Grouping/10_04-StackingUnstacking.mp47.6MB
  61. 11. Serialization/11_01-CSV Reading And Writing.mp420.26MB
  62. 11. Serialization/11_02-JSON.mp421.03MB
  63. 11. Serialization/11_03-Pickle.mp46.33MB
  64. 11. Serialization/11_04-Numpy.mp47.65MB
  65. 11. Serialization/11_05-Excel.mp412.17MB
  66. 12. Plotting/12_01-Basic Plotting.mp417.86MB
  67. 12. Plotting/12_02-Histograms.mp422.38MB
  68. 12. Plotting/12_03-Bar Plots.mp49.89MB
  69. 12. Plotting/12_04-Line Plots.mp412.8MB
  70. 12. Plotting/12_05-Faceting.mp416.96MB
  71. 13. Time Series/13_01-Date Manipulation.mp420.9MB
  72. 13. Time Series/13_02-Window Functions.mp420.15MB
  73. 13. Time Series/13_03-Plotting.mp45.83MB
  74. 14. Machine Learning/14_01-Using Pandas With ScikitLearn.mp418.05MB
  75. 14. Machine Learning/14_02-Sample Regression.mp415.51MB
  76. 15. Sample Application/15_01-Crawling Data.mp438.28MB
  77. 15. Sample Application/15_02-Crawling Data Part 2.mp422.39MB
  78. 15. Sample Application/15_03-Munging Data.mp423.23MB
  79. 15. Sample Application/15_04-Munging Data Part 2.mp423.46MB
  80. 15. Sample Application/15_05-Plotting Data.mp441.14MB
  81. 15. Sample Application/15_06-Creating An Infographic.mp424.8MB
  82. 15. Sample Application/15_07-Creating An Infographic Part 2.mp419.43MB
  83. 16. Conclusion/16_01-Conclusion.mp4922.18KB
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