CBTNuggets - Python and pandas for Data Manipulation 2022-5

磁力链接/BT种子名称

CBTNuggets - Python and pandas for Data Manipulation 2022-5

磁力链接/BT种子简介

种子哈希：6786c3b71e45b883676cc1c4cf9317cc204337ce
文件大小： 10.45G
已经下载：365次
下载速度：极快
收录时间：2024-11-09
最近下载：2025-10-12

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文件列表

  • 9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/52. Strip Strings.mp4 213.5 MB
  • 15. Python and Pandas for Data Manipulation Visualization/81. Visualizing Cryptocurrencies.mp4 209.8 MB
  • 6. Python and Pandas for Data Manipulation Filtering Data/38. Conditional Filtering.mp4 195.0 MB
  • 10. Python and Pandas for Data Manipulation Grouping/60. The Group_by Methods.mp4 194.3 MB
  • 18. Python and Pandas for Data Manipulation DataFrame Sorting/99. Changing data types.mp4 194.0 MB
  • 14. Python and Pandas for Data Manipulation DataReader/76. Reading Cryptocurrency Data.mp4 188.5 MB
  • 17. Python and Pandas for Data Manipulation DataFrame Introduction/90. DataFrame Introduction.mp4 184.8 MB
  • 11. Python and Pandas for Data Manipulation Combining DataFrames/63. Concatenation.mp4 180.9 MB
  • 6. Python and Pandas for Data Manipulation Filtering Data/37. Optimization.mp4 173.0 MB
  • 10. Python and Pandas for Data Manipulation Grouping/58. Group_by Operations.mp4 170.2 MB
  • 6. Python and Pandas for Data Manipulation Filtering Data/39. Filtering with AND and OR.mp4 167.3 MB
  • 15. Python and Pandas for Data Manipulation Visualization/82. Customizing Visualizations.mp4 163.6 MB
  • 1. Python and Pandas for Data Manipulation Installation and Setup/6. Challenge.mp4 163.4 MB
  • 18. Python and Pandas for Data Manipulation DataFrame Sorting/100. Sorting values.mp4 157.6 MB
  • 8. Python and Pandas for Data Manipulation Text Data Basics/48. Manipulating Text Data.mp4 155.6 MB
  • 15. Python and Pandas for Data Manipulation Visualization/83. Creating Charts.mp4 154.8 MB
  • 8. Python and Pandas for Data Manipulation Text Data Basics/49. String Methods.mp4 154.5 MB
  • 18. Python and Pandas for Data Manipulation DataFrame Sorting/102. Ranking a Series.mp4 152.4 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/24. Extract by Label.mp4 149.9 MB
  • 14. Python and Pandas for Data Manipulation DataReader/77. Selecting Datetime Rows.mp4 140.7 MB
  • 20. Python and Pandas for Data Manipulation Extracting Values/109. Setting and Resetting Indices.mp4 140.3 MB
  • 14. Python and Pandas for Data Manipulation DataReader/75. Introduction & Setup.mp4 134.9 MB
  • 10. Python and Pandas for Data Manipulation Grouping/59. Get_group Method.mp4 132.4 MB
  • 20. Python and Pandas for Data Manipulation Extracting Values/110. Extraction with loc.mp4 126.3 MB
  • 13. Python and Pandas for Data Manipulation Date Ranges/72. Date Ranges Part 2.mp4 125.9 MB
  • 13. Python and Pandas for Data Manipulation Date Ranges/74. The dt Accessor.mp4 125.7 MB
  • 10. Python and Pandas for Data Manipulation Grouping/57. Grouping.mp4 124.3 MB
  • 2. Python and Pandas for Data Manipulation Jupyter Notebook/9. User Interface.mp4 123.1 MB
  • 8. Python and Pandas for Data Manipulation Text Data Basics/51. Filtering String Methods.mp4 121.6 MB
  • 8. Python and Pandas for Data Manipulation Text Data Basics/50. The Replace String Method.mp4 121.2 MB
  • 7. Python and Pandas for Data Manipulation Extraction Methods/43. Returning Smallest and Largest Values.mp4 120.6 MB
  • 19. Python and Pandas for Data Manipulation Filtering Duplicates/107. Inclusion with between().mp4 120.2 MB
  • 2. Python and Pandas for Data Manipulation Jupyter Notebook/7. Introduction.mp4 117.7 MB
  • 7. Python and Pandas for Data Manipulation Extraction Methods/45. The Query Method.mp4 117.6 MB
  • 14. Python and Pandas for Data Manipulation DataReader/78. Timestamp Attributes & Methods.mp4 116.8 MB
  • 9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/53. Column and Index Methods.mp4 116.0 MB
  • 20. Python and Pandas for Data Manipulation Extracting Values/111. Extraction with iloc.mp4 115.2 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/25. The get() Method.mp4 115.2 MB
  • 13. Python and Pandas for Data Manipulation Date Ranges/70. Date Ranges Part 1 Video 1-B.mp4 114.2 MB
  • 19. Python and Pandas for Data Manipulation Filtering Duplicates/104. Checking for Duplicates.mp4 112.0 MB
  • 13. Python and Pandas for Data Manipulation Date Ranges/69. Date Ranges Part 1 Video 1-A.mp4 111.2 MB
  • 2. Python and Pandas for Data Manipulation Jupyter Notebook/8. Brief History.mp4 110.2 MB
  • 11. Python and Pandas for Data Manipulation Combining DataFrames/64. Inner Joins.mp4 110.0 MB
  • 3. Python and Pandas for Data Manipulation Series Introduction/16. Read CSV files.mp4 110.0 MB
  • 7. Python and Pandas for Data Manipulation Extraction Methods/44. The Where Method.mp4 108.9 MB
  • 6. Python and Pandas for Data Manipulation Filtering Data/40. Inclusion Method.mp4 106.4 MB
  • 7. Python and Pandas for Data Manipulation Extraction Methods/46. The Copy Method.mp4 106.2 MB
  • 1. Python and Pandas for Data Manipulation Installation and Setup/2. What is Pandas.mp4 105.0 MB
  • 5. Python and Pandas for Data Manipulation DataFrame Cleaning/32. Drop null values.mp4 104.8 MB
  • 1. Python and Pandas for Data Manipulation Installation and Setup/4. Anaconda Installation.mp4 103.2 MB
  • 16. Python and Pandas for Data Manipulation Series Attributes and Methods/85. Parameter and Arguments.mp4 102.6 MB
  • 12. Python and Pandas for Data Manipulation Times Series Data/67. The to_datetime Method.mp4 101.5 MB
  • 20. Python and Pandas for Data Manipulation Extracting Values/113. Set Multiple Values.mp4 101.0 MB
  • 3. Python and Pandas for Data Manipulation Series Introduction/14. Create a Series from a List.mp4 100.8 MB
  • 19. Python and Pandas for Data Manipulation Filtering Duplicates/105. Drop Duplicates.mp4 99.7 MB
  • 16. Python and Pandas for Data Manipulation Series Attributes and Methods/88. Series Methods.mp4 98.2 MB
  • 3. Python and Pandas for Data Manipulation Series Introduction/18. Head and Tail Functions.mp4 98.0 MB
  • 16. Python and Pandas for Data Manipulation Series Attributes and Methods/87. Series Attributes.mp4 92.9 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/23. Extract by Position.mp4 92.5 MB
  • 9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/54. Splitting Strings.mp4 91.8 MB
  • 13. Python and Pandas for Data Manipulation Date Ranges/73. Date Ranges Part 3.mp4 91.6 MB
  • 13. Python and Pandas for Data Manipulation Date Ranges/71. Date Ranges Part 1 Video 1-C.mp4 90.2 MB
  • 19. Python and Pandas for Data Manipulation Filtering Duplicates/106. Unique Values.mp4 89.7 MB
  • 9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/55. More Splitting.mp4 87.1 MB
  • 15. Python and Pandas for Data Manipulation Visualization/79. Introduction.mp4 83.9 MB
  • 6. Python and Pandas for Data Manipulation Filtering Data/36. Introduction.mp4 81.7 MB
  • 16. Python and Pandas for Data Manipulation Series Attributes and Methods/89. Inplace Mutation.mp4 80.7 MB
  • 5. Python and Pandas for Data Manipulation DataFrame Cleaning/35. Detect null and not null values.mp4 80.6 MB
  • 2. Python and Pandas for Data Manipulation Jupyter Notebook/11. Cell Types.mp4 80.3 MB
  • 16. Python and Pandas for Data Manipulation Series Attributes and Methods/86. Sort Values.mp4 78.3 MB
  • 5. Python and Pandas for Data Manipulation DataFrame Cleaning/31. Handling null values.mp4 77.2 MB
  • 1. Python and Pandas for Data Manipulation Installation and Setup/5. Conda Environments.mp4 76.0 MB
  • 7. Python and Pandas for Data Manipulation Extraction Methods/42. The Drop Method.mp4 75.8 MB
  • 17. Python and Pandas for Data Manipulation DataFrame Introduction/92. Shared methods.mp4 74.9 MB
  • 17. Python and Pandas for Data Manipulation DataFrame Introduction/96. Broadcasting Operations.mp4 74.6 MB
  • 3. Python and Pandas for Data Manipulation Series Introduction/17. Read Excel files.mp4 73.3 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/26. Math methods.mp4 73.1 MB
  • 17. Python and Pandas for Data Manipulation DataFrame Introduction/91, Series shared attributes.mp4 71.2 MB
  • 17. Python and Pandas for Data Manipulation DataFrame Introduction/95. Adding columns.mp4 70.9 MB
  • 17. Python and Pandas for Data Manipulation DataFrame Introduction/97. DataFrames value_counts( ).mp4 69.8 MB
  • 5. Python and Pandas for Data Manipulation DataFrame Cleaning/33. Impute missing values.mp4 69.8 MB
  • 20. Python and Pandas for Data Manipulation Extracting Values/112. Setting New Values.mp4 68.0 MB
  • 11. Python and Pandas for Data Manipulation Combining DataFrames/62. Combining DataFrame.mp4 67.6 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/22. The In Keyword.mp4 65.2 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/29. The apply() Method.mp4 64.8 MB
  • 11. Python and Pandas for Data Manipulation Combining DataFrames/61. Introduction.mp4 63.9 MB
  • 2. Python and Pandas for Data Manipulation Jupyter Notebook/10. Data Types Review.mp4 63.1 MB
  • 3. Python and Pandas for Data Manipulation Series Introduction/20. Series Methods.mp4 63.1 MB
  • 12. Python and Pandas for Data Manipulation Times Series Data/66. DatetimeIndex.mp4 62.8 MB
  • 1. Python and Pandas for Data Manipulation Installation and Setup/3. What is Jupyter Notebook.mp4 62.4 MB
  • 17. Python and Pandas for Data Manipulation DataFrame Introduction/93. Extracting columns.mp4 61.7 MB
  • 3. Python and Pandas for Data Manipulation Series Introduction/13. Introduction.mp4 61.0 MB
  • 18. Python and Pandas for Data Manipulation DataFrame Sorting/101. Sort by indices.mp4 59.2 MB
  • 5. Python and Pandas for Data Manipulation DataFrame Cleaning/34. Value counts for DataFrames.mp4 57.4 MB
  • 17. Python and Pandas for Data Manipulation DataFrame Introduction/94. Extracting two or more columns.mp4 56.3 MB
  • 3. Python and Pandas for Data Manipulation Series Introduction/19. Series Attributes.mp4 55.8 MB
  • 3. Python and Pandas for Data Manipulation Series Introduction/15. Create a Series from a Dictionary.mp4 54.0 MB
  • 19. Python and Pandas for Data Manipulation Filtering Duplicates/103. Introduction.mp4 50.4 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/28. Unique Values.mp4 49.1 MB
  • 1. Python and Pandas for Data Manipulation Installation and Setup/1. Introduction.mp4 48.8 MB
  • 7. Python and Pandas for Data Manipulation Extraction Methods/41. Introduction.mp4 47.7 MB
  • 5. Python and Pandas for Data Manipulation DataFrame Cleaning/30. Introduction.mp4 47.1 MB
  • 11. Python and Pandas for Data Manipulation Combining DataFrames/65. Outer Joins.mp4 42.6 MB
  • 20. Python and Pandas for Data Manipulation Extracting Values/108. Introduction.mp4 38.8 MB
  • 10. Python and Pandas for Data Manipulation Grouping/56. Introduction.mp4 38.7 MB
  • 18. Python and Pandas for Data Manipulation DataFrame Sorting/98. Introduction.mp4 38.2 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/27. The idxmin() and idxmax() Methods.mp4 35.8 MB
  • 2. Python and Pandas for Data Manipulation Jupyter Notebook/12. Shortcuts.mp4 35.2 MB
  • 13. Python and Pandas for Data Manipulation Date Ranges/68. Introduction.mp4 33.5 MB
  • 8. Python and Pandas for Data Manipulation Text Data Basics/47. Introduction.mp4 30.7 MB
  • 16. Python and Pandas for Data Manipulation Series Attributes and Methods/84. Introduction.mp4 29.8 MB
  • 15. Python and Pandas for Data Manipulation Visualization/80. Matplotlib & PyPlot.mp4 29.7 MB
  • 4. Python and Pandas for Data Manipulation Series Basics/21. Introduction.mp4 28.5 MB
  • pyth_pand_dat_man_inst_setup.zip 21.2 kB
  • Readme.txt 140 Bytes

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