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CBTNuggets - Python and Pandas for Data Manipulation 2022-5

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Title: CBTNuggets - Python and Pandas for Data ManipulationGroup: 5Year: 2022Source: CBTNuggets
Info Hash
6786C3B71E45B883676CC1C4CF9317CC204337CE
Source
Unverified
Total Size
10.45 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/52. Strip Strings.mp4203.62 MB
Readme.txt140 B
1. Python and Pandas for Data Manipulation Installation and Setup/1. Introduction.mp446.53 MB
1. Python and Pandas for Data Manipulation Installation and Setup/2. What is Pandas.mp4100.15 MB
1. Python and Pandas for Data Manipulation Installation and Setup/3. What is Jupyter Notebook.mp459.49 MB
1. Python and Pandas for Data Manipulation Installation and Setup/4. Anaconda Installation.mp498.43 MB
1. Python and Pandas for Data Manipulation Installation and Setup/5. Conda Environments.mp472.49 MB
1. Python and Pandas for Data Manipulation Installation and Setup/6. Challenge.mp4155.81 MB
2. Python and Pandas for Data Manipulation Jupyter Notebook/7. Introduction.mp4112.26 MB
2. Python and Pandas for Data Manipulation Jupyter Notebook/8. Brief History.mp4105.07 MB
2. Python and Pandas for Data Manipulation Jupyter Notebook/9. User Interface.mp4117.39 MB
2. Python and Pandas for Data Manipulation Jupyter Notebook/10. Data Types Review.mp460.19 MB
2. Python and Pandas for Data Manipulation Jupyter Notebook/11. Cell Types.mp476.56 MB
2. Python and Pandas for Data Manipulation Jupyter Notebook/12. Shortcuts.mp433.59 MB
3. Python and Pandas for Data Manipulation Series Introduction/13. Introduction.mp458.15 MB
3. Python and Pandas for Data Manipulation Series Introduction/14. Create a Series from a List.mp496.09 MB
3. Python and Pandas for Data Manipulation Series Introduction/15. Create a Series from a Dictionary.mp451.53 MB
3. Python and Pandas for Data Manipulation Series Introduction/16. Read CSV files.mp4104.89 MB
3. Python and Pandas for Data Manipulation Series Introduction/17. Read Excel files.mp469.88 MB
3. Python and Pandas for Data Manipulation Series Introduction/18. Head and Tail Functions.mp493.45 MB
3. Python and Pandas for Data Manipulation Series Introduction/19. Series Attributes.mp453.17 MB
3. Python and Pandas for Data Manipulation Series Introduction/20. Series Methods.mp460.19 MB
4. Python and Pandas for Data Manipulation Series Basics/21. Introduction.mp427.22 MB
4. Python and Pandas for Data Manipulation Series Basics/22. The In Keyword.mp462.14 MB
4. Python and Pandas for Data Manipulation Series Basics/23. Extract by Position.mp488.22 MB
4. Python and Pandas for Data Manipulation Series Basics/24. Extract by Label.mp4142.95 MB
4. Python and Pandas for Data Manipulation Series Basics/25. The get() Method.mp4109.84 MB
4. Python and Pandas for Data Manipulation Series Basics/26. Math methods.mp469.7 MB
4. Python and Pandas for Data Manipulation Series Basics/27. The idxmin() and idxmax() Methods.mp434.1 MB
4. Python and Pandas for Data Manipulation Series Basics/28. Unique Values.mp446.85 MB
4. Python and Pandas for Data Manipulation Series Basics/29. The apply() Method.mp461.76 MB
5. Python and Pandas for Data Manipulation DataFrame Cleaning/30. Introduction.mp444.92 MB
5. Python and Pandas for Data Manipulation DataFrame Cleaning/31. Handling null values.mp473.65 MB
5. Python and Pandas for Data Manipulation DataFrame Cleaning/32. Drop null values.mp499.98 MB
5. Python and Pandas for Data Manipulation DataFrame Cleaning/33. Impute missing values.mp466.57 MB
5. Python and Pandas for Data Manipulation DataFrame Cleaning/34. Value counts for DataFrames.mp454.76 MB
5. Python and Pandas for Data Manipulation DataFrame Cleaning/35. Detect null and not null values.mp476.83 MB
6. Python and Pandas for Data Manipulation Filtering Data/36. Introduction.mp477.91 MB
6. Python and Pandas for Data Manipulation Filtering Data/37. Optimization.mp4164.97 MB
6. Python and Pandas for Data Manipulation Filtering Data/38. Conditional Filtering.mp4185.94 MB
6. Python and Pandas for Data Manipulation Filtering Data/39. Filtering with AND and OR.mp4159.55 MB
6. Python and Pandas for Data Manipulation Filtering Data/40. Inclusion Method.mp4101.45 MB
7. Python and Pandas for Data Manipulation Extraction Methods/41. Introduction.mp445.45 MB
7. Python and Pandas for Data Manipulation Extraction Methods/42. The Drop Method.mp472.31 MB
7. Python and Pandas for Data Manipulation Extraction Methods/43. Returning Smallest and Largest Values.mp4115.06 MB
7. Python and Pandas for Data Manipulation Extraction Methods/44. The Where Method.mp4103.81 MB
7. Python and Pandas for Data Manipulation Extraction Methods/45. The Query Method.mp4112.13 MB
7. Python and Pandas for Data Manipulation Extraction Methods/46. The Copy Method.mp4101.31 MB
8. Python and Pandas for Data Manipulation Text Data Basics/47. Introduction.mp429.31 MB
8. Python and Pandas for Data Manipulation Text Data Basics/48. Manipulating Text Data.mp4148.44 MB
8. Python and Pandas for Data Manipulation Text Data Basics/49. String Methods.mp4147.35 MB
8. Python and Pandas for Data Manipulation Text Data Basics/50. The Replace String Method.mp4115.62 MB
8. Python and Pandas for Data Manipulation Text Data Basics/51. Filtering String Methods.mp4116 MB
pyth_pand_dat_man_inst_setup.zip20.66 KB
9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/53. Column and Index Methods.mp4110.59 MB
9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/54. Splitting Strings.mp487.59 MB
9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/55. More Splitting.mp483.08 MB
10. Python and Pandas for Data Manipulation Grouping/56. Introduction.mp436.87 MB
10. Python and Pandas for Data Manipulation Grouping/57. Grouping.mp4118.56 MB
10. Python and Pandas for Data Manipulation Grouping/58. Group_by Operations.mp4162.29 MB
10. Python and Pandas for Data Manipulation Grouping/59. Get_group Method.mp4126.31 MB
10. Python and Pandas for Data Manipulation Grouping/60. The Group_by Methods.mp4185.27 MB
11. Python and Pandas for Data Manipulation Combining DataFrames/61. Introduction.mp460.95 MB
11. Python and Pandas for Data Manipulation Combining DataFrames/62. Combining DataFrame.mp464.46 MB
11. Python and Pandas for Data Manipulation Combining DataFrames/63. Concatenation.mp4172.53 MB
11. Python and Pandas for Data Manipulation Combining DataFrames/64. Inner Joins.mp4104.93 MB
11. Python and Pandas for Data Manipulation Combining DataFrames/65. Outer Joins.mp440.59 MB
12. Python and Pandas for Data Manipulation Times Series Data/66. DatetimeIndex.mp459.89 MB
12. Python and Pandas for Data Manipulation Times Series Data/67. The to_datetime Method.mp496.78 MB
13. Python and Pandas for Data Manipulation Date Ranges/68. Introduction.mp431.96 MB
13. Python and Pandas for Data Manipulation Date Ranges/69. Date Ranges Part 1 Video 1-A.mp4106.07 MB
13. Python and Pandas for Data Manipulation Date Ranges/70. Date Ranges Part 1 Video 1-B.mp4108.92 MB
13. Python and Pandas for Data Manipulation Date Ranges/71. Date Ranges Part 1 Video 1-C.mp486 MB
13. Python and Pandas for Data Manipulation Date Ranges/72. Date Ranges Part 2.mp4120.03 MB
13. Python and Pandas for Data Manipulation Date Ranges/73. Date Ranges Part 3.mp487.4 MB
13. Python and Pandas for Data Manipulation Date Ranges/74. The dt Accessor.mp4119.91 MB
14. Python and Pandas for Data Manipulation DataReader/75. Introduction & Setup.mp4128.61 MB
14. Python and Pandas for Data Manipulation DataReader/76. Reading Cryptocurrency Data.mp4179.8 MB
14. Python and Pandas for Data Manipulation DataReader/77. Selecting Datetime Rows.mp4134.19 MB
14. Python and Pandas for Data Manipulation DataReader/78. Timestamp Attributes & Methods.mp4111.37 MB
15. Python and Pandas for Data Manipulation Visualization/79. Introduction.mp479.97 MB
15. Python and Pandas for Data Manipulation Visualization/80. Matplotlib & PyPlot.mp428.34 MB
15. Python and Pandas for Data Manipulation Visualization/81. Visualizing Cryptocurrencies.mp4200.11 MB
15. Python and Pandas for Data Manipulation Visualization/82. Customizing Visualizations.mp4156.04 MB
15. Python and Pandas for Data Manipulation Visualization/83. Creating Charts.mp4147.67 MB
16. Python and Pandas for Data Manipulation Series Attributes and Methods/84. Introduction.mp428.39 MB
16. Python and Pandas for Data Manipulation Series Attributes and Methods/85. Parameter and Arguments.mp497.88 MB
16. Python and Pandas for Data Manipulation Series Attributes and Methods/86. Sort Values.mp474.71 MB
16. Python and Pandas for Data Manipulation Series Attributes and Methods/87. Series Attributes.mp488.55 MB
16. Python and Pandas for Data Manipulation Series Attributes and Methods/88. Series Methods.mp493.69 MB
16. Python and Pandas for Data Manipulation Series Attributes and Methods/89. Inplace Mutation.mp476.93 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/90. DataFrame Introduction.mp4176.25 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/91, Series shared attributes.mp467.92 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/92. Shared methods.mp471.41 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/93. Extracting columns.mp458.88 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/94. Extracting two or more columns.mp453.71 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/95. Adding columns.mp467.57 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/96. Broadcasting Operations.mp471.15 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/97. DataFrames value_counts( ).mp466.58 MB
18. Python and Pandas for Data Manipulation DataFrame Sorting/98. Introduction.mp436.4 MB

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