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[FreeCourseSite.com] Udemy - Pandas with Python Tutorial
magnet:?xt=urn:btih:4aecd3771867edf3c8e730430b173999df78b73c&dn=[FreeCourseSite.com] Udemy - Pandas with Python Tutorial
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文件列表详情
4aecd3771867edf3c8e730430b173999df78b73c
infohash:
59
文件数量
2.59 GB
文件大小
2019-7-7 18:02
创建日期
2024-11-2 14:37
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相关分词
FreeCourseSite
com
Udemy
-
Pandas
with
Python
Tutorial
1. Introduction/1. Introduction to Pandas with Python.mp4 37.11 MB
2. Data Set/1. Understanding Jupiter Environment.mp4 20.94 MB
2. Data Set/2. Reading the Data Set.mp4 59.03 MB
2. Data Set/3. Series and Data Frame.mp4 20.68 MB
2. Data Set/4. Operations in Data Set.mp4 25.47 MB
2. Data Set/5. More on Panda Functions.mp4 47.2 MB
2. Data Set/6. Column Names and Operation.mp4 78.68 MB
2. Data Set/7. Removing Columns and Rows.mp4 21.43 MB
2. Data Set/8. Sorting Data Frame.mp4 29.27 MB
2. Data Set/9. Filtering Data.mp4 58.98 MB
3. Data Analysis/1. Filter Multiple Criteria.mp4 50.97 MB
3. Data Analysis/10. Plotting series in Pandas.mp4 22.46 MB
3. Data Analysis/11. Dealing with Null Values.mp4 35.56 MB
3. Data Analysis/12. Uses of Index.mp4 49.22 MB
3. Data Analysis/13. Column in Index.mp4 52.23 MB
3. Data Analysis/14. Output of Data.mp4 47.9 MB
3. Data Analysis/15. Functions of iX Method.mp4 70.98 MB
3. Data Analysis/16. InPlace Parameter.mp4 34.42 MB
3. Data Analysis/17. Inspecting the Space.mp4 31.44 MB
3. Data Analysis/18. Reducing the Space.mp4 69.87 MB
3. Data Analysis/19. Using in Country Series.mp4 27.93 MB
3. Data Analysis/2. Selective Columns and Rows.mp4 17.86 MB
3. Data Analysis/20. Creating Manual Data Frame.mp4 32.66 MB
3. Data Analysis/21. Random Sampling with Pandas.mp4 31.36 MB
3. Data Analysis/22. Concept of Dummy Coding.mp4 82.49 MB
3. Data Analysis/23. Creating Dummified Values.mp4 82.44 MB
3. Data Analysis/24. Duplicates in Data Frame.mp4 48.64 MB
3. Data Analysis/25. Functions for Date and Time.mp4 68.9 MB
3. Data Analysis/26. Setting with Copy Warning.mp4 37.7 MB
3. Data Analysis/27. Example on Copy Warning.mp4 35.34 MB
3. Data Analysis/28. Changing the Display Option.mp4 39.66 MB
3. Data Analysis/29. Formatting the Data.mp4 53.04 MB
3. Data Analysis/3. Data Frame and Series.mp4 11.16 MB
3. Data Analysis/30. Tricks for Display Options.mp4 39.82 MB
3. Data Analysis/31. Data with Rows and Columns.mp4 41.09 MB
3. Data Analysis/32. Converting Data Frame.mp4 18.45 MB
3. Data Analysis/4. Axis Parameter.mp4 28.86 MB
3. Data Analysis/5. String Methods in Pandas.mp4 28.94 MB
3. Data Analysis/6. Changing the Data Types.mp4 31.5 MB
3. Data Analysis/7. Example of Data Type Change.mp4 27.59 MB
3. Data Analysis/8. Group by Functions.mp4 30.97 MB
3. Data Analysis/9. Functions on Series.mp4 30.77 MB
4. Azure Data Lake/1. Introduction to Azure Data Lake.mp4 47.42 MB
4. Azure Data Lake/10. More on Crosstab.mp4 67.57 MB
4. Azure Data Lake/11. More Options with Crosstab.mp4 80.08 MB
4. Azure Data Lake/12. Functions of Pivot.mp4 29.92 MB
4. Azure Data Lake/13. Pivot Table Method.mp4 62.54 MB
4. Azure Data Lake/14. Example on Pivot Table.mp4 88.07 MB
4. Azure Data Lake/15. Data Frame to CSV File.mp4 57.34 MB
4. Azure Data Lake/16. Using Excel Functions.mp4 58.7 MB
4. Azure Data Lake/2. Merging Data Frames.mp4 70.34 MB
4. Azure Data Lake/3. Shaping a Data Frame.mp4 54.88 MB
4. Azure Data Lake/4. Filling NA Values.mp4 24.74 MB
4. Azure Data Lake/5. Importing Time Series Data.mp4 59.66 MB
4. Azure Data Lake/6. Working with Interpolate Method.mp4 67.93 MB
4. Azure Data Lake/7. Stacking and Unstacking.mp4 80.79 MB
4. Azure Data Lake/8. Stacking and Unstacking for 3 Levels.mp4 33.77 MB
4. Azure Data Lake/9. Concept of Crosstab.mp4 50.41 MB
5. Summary/1. Summary on Pandas.mp4 9.03 MB
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