589689.xyz

Lynda - pandas Essential Training

  • 收录时间:2018-05-25 20:30:46
  • 文件大小:363MB
  • 下载次数:88
  • 最近下载:2020-12-31 15:07:18
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文件列表

  1. 5.4. Basic Analysis/21.Solution.mp4 20MB
  2. 7.6. Indexing/37.Solution.mp4 19MB
  3. 9.8. Reshaping/47.Solution.mp4 17MB
  4. 11.10. Challenge/51.Final solution.mp4 16MB
  5. 10.9. Data Visualizations/48.Learning heatmaps.mp4 15MB
  6. 8.7. Groupby/40.Groupby computations.mp4 15MB
  7. 3.2. Series and DataFrames/09.Series.mp4 13MB
  8. 10.9. Data Visualizations/49.Creating your own colormaps.mp4 12MB
  9. 6.5. Basic Plotting/29.Solution.mp4 12MB
  10. 5.4. Basic Analysis/17.Using sort_values().mp4 12MB
  11. 6.5. Basic Plotting/23.Plot types.mp4 11MB
  12. 8.7. Groupby/42.Solution.mp4 10MB
  13. 9.8. Reshaping/43.Reshaping.mp4 9MB
  14. 6.5. Basic Plotting/27.Seaborn basic plotting.mp4 9MB
  15. 4.3. Data Input and Validation/12.Using read_csv().mp4 9MB
  16. 2.1. Technical Setup/06.Using the Jupyter notebook.mp4 9MB
  17. 3.2. Series and DataFrames/11.Solution.mp4 9MB
  18. 2.1. Technical Setup/04.Installing Anaconda.mp4 9MB
  19. 7.6. Indexing/31.Using set_index().mp4 8MB
  20. 5.4. Basic Analysis/16.Using value_counts().mp4 8MB
  21. 5.4. Basic Analysis/18.Boolean indexing.mp4 7MB
  22. 1.Introduction/01.Welcome.mp4 7MB
  23. 2.1. Technical Setup/07.Using Pandas.mp4 7MB
  24. 7.6. Indexing/33.Using sort_index().mp4 7MB
  25. 8.7. Groupby/38.Groupby.mp4 6MB
  26. 7.6. Indexing/34.Using loc[].mp4 6MB
  27. 7.6. Indexing/35.Using iloc[].mp4 5MB
  28. 4.3. Data Input and Validation/14.Using head() and tail().mp4 5MB
  29. 2.1. Technical Setup/05.Downloading the data set.mp4 5MB
  30. 8.7. Groupby/39.Iterate through a group.mp4 5MB
  31. 3.2. Series and DataFrames/08.DataFrames.mp4 4MB
  32. 9.8. Reshaping/44.Using stack().mp4 4MB
  33. 6.5. Basic Plotting/26.Colormaps.mp4 4MB
  34. 7.6. Indexing/30.Index.mp4 4MB
  35. 5.4. Basic Analysis/19.String handling.mp4 4MB
  36. 9.8. Reshaping/45.Using unstack().mp4 4MB
  37. 7.6. Indexing/32.Using reset_index().mp4 4MB
  38. 6.5. Basic Plotting/22.Basic plotting.mp4 4MB
  39. 4.3. Data Input and Validation/13.Using shape.mp4 3MB
  40. 5.4. Basic Analysis/20.Challenge.mp4 3MB
  41. 12.Conclusion/52.Next steps.mp4 3MB
  42. 6.5. Basic Plotting/24.Colors.mp4 3MB
  43. 4.3. Data Input and Validation/15.Using info().mp4 3MB
  44. 6.5. Basic Plotting/28.Challenge.mp4 2MB
  45. 9.8. Reshaping/46.Challenge.mp4 2MB
  46. 3.2. Series and DataFrames/10.Challenge.mp4 2MB
  47. 8.7. Groupby/41.Challenge.mp4 2MB
  48. 6.5. Basic Plotting/25.Figsize.mp4 2MB
  49. 11.10. Challenge/50.Final challenge.mp4 2MB
  50. 7.6. Indexing/36.Challenge.mp4 1MB
  51. 1.Introduction/02.What you should know.mp4 1MB
  52. 1.Introduction/03.Exercise files.mp4 1MB
  53. Exercise Files/Ex_Files_Pandas_EssT.zip 1MB
  54. 7.6. Indexing/37.Solution.en.srt 10KB
  55. 5.4. Basic Analysis/21.Solution.en.srt 10KB
  56. 9.8. Reshaping/47.Solution.en.srt 9KB
  57. 8.7. Groupby/40.Groupby computations.en.srt 8KB
  58. 11.10. Challenge/51.Final solution.en.srt 8KB
  59. 6.5. Basic Plotting/29.Solution.en.srt 7KB
  60. 10.9. Data Visualizations/48.Learning heatmaps.en.srt 7KB
  61. 3.2. Series and DataFrames/09.Series.en.srt 7KB
  62. 6.5. Basic Plotting/23.Plot types.en.srt 6KB
  63. 2.1. Technical Setup/06.Using the Jupyter notebook.en.srt 6KB
  64. 10.9. Data Visualizations/49.Creating your own colormaps.en.srt 5KB
  65. 5.4. Basic Analysis/17.Using sort_values().en.srt 5KB
  66. 6.5. Basic Plotting/27.Seaborn basic plotting.en.srt 5KB
  67. 8.7. Groupby/42.Solution.en.srt 5KB
  68. 4.3. Data Input and Validation/12.Using read_csv().en.srt 5KB
  69. 5.4. Basic Analysis/16.Using value_counts().en.srt 5KB
  70. 2.1. Technical Setup/07.Using Pandas.en.srt 4KB
  71. 9.8. Reshaping/43.Reshaping.en.srt 4KB
  72. 2.1. Technical Setup/04.Installing Anaconda.en.srt 4KB
  73. 7.6. Indexing/31.Using set_index().en.srt 4KB
  74. 5.4. Basic Analysis/18.Boolean indexing.en.srt 4KB
  75. 3.2. Series and DataFrames/11.Solution.en.srt 4KB
  76. 8.7. Groupby/38.Groupby.en.srt 3KB
  77. 7.6. Indexing/33.Using sort_index().en.srt 3KB
  78. 7.6. Indexing/34.Using loc[].en.srt 3KB
  79. 7.6. Indexing/35.Using iloc[].en.srt 3KB
  80. 6.5. Basic Plotting/22.Basic plotting.en.srt 3KB
  81. 8.7. Groupby/39.Iterate through a group.en.srt 3KB
  82. 4.3. Data Input and Validation/14.Using head() and tail().en.srt 3KB
  83. 9.8. Reshaping/44.Using stack().en.srt 2KB
  84. 4.3. Data Input and Validation/13.Using shape.en.srt 2KB
  85. 6.5. Basic Plotting/26.Colormaps.en.srt 2KB
  86. 5.4. Basic Analysis/19.String handling.en.srt 2KB
  87. 9.8. Reshaping/45.Using unstack().en.srt 2KB
  88. 2.1. Technical Setup/05.Downloading the data set.en.srt 2KB
  89. 7.6. Indexing/30.Index.en.srt 2KB
  90. 5.4. Basic Analysis/20.Challenge.en.srt 2KB
  91. 7.6. Indexing/32.Using reset_index().en.srt 2KB
  92. 3.2. Series and DataFrames/08.DataFrames.en.srt 2KB
  93. 12.Conclusion/52.Next steps.en.srt 2KB
  94. 4.3. Data Input and Validation/15.Using info().en.srt 2KB
  95. 1.Introduction/01.Welcome.en.srt 2KB
  96. 6.5. Basic Plotting/28.Challenge.en.srt 1KB
  97. 6.5. Basic Plotting/24.Colors.en.srt 1KB
  98. 9.8. Reshaping/46.Challenge.en.srt 1KB
  99. 8.7. Groupby/41.Challenge.en.srt 1KB
  100. 3.2. Series and DataFrames/10.Challenge.en.srt 1KB
  101. 6.5. Basic Plotting/25.Figsize.en.srt 1KB
  102. 1.Introduction/03.Exercise files.en.srt 993B
  103. 7.6. Indexing/36.Challenge.en.srt 949B
  104. 11.10. Challenge/50.Final challenge.en.srt 931B
  105. 1.Introduction/02.What you should know.en.srt 925B