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[FreeAllCourse.Com] Udemy - Pandas with Python Tutorial
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2020-6-16 02:54
2024-12-16 12:00
135
2.59 GB
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相关链接
FreeAllCourse
Com
Udemy
-
Pandas
with
Python
Tutorial
文件列表
1. Introduction/1. Introduction to Pandas with Python.mp4
37.11MB
2. Data Set/1. Understanding Jupiter Environment.mp4
20.93MB
2. Data Set/2. Reading the Data Set.mp4
59.03MB
2. Data Set/3. Series and Data Frame.mp4
20.68MB
2. Data Set/4. Operations in Data Set.mp4
25.47MB
2. Data Set/5. More on Panda Functions.mp4
47.2MB
2. Data Set/6. Column Names and Operation.mp4
78.67MB
2. Data Set/7. Removing Columns and Rows.mp4
21.44MB
2. Data Set/8. Sorting Data Frame.mp4
29.26MB
2. Data Set/9. Filtering Data.mp4
58.98MB
3. Data Analysis/1. Filter Multiple Criteria.mp4
50.98MB
3. Data Analysis/10. Plotting series in Pandas.mp4
22.46MB
3. Data Analysis/11. Dealing with Null Values.mp4
35.56MB
3. Data Analysis/12. Uses of Index.mp4
49.21MB
3. Data Analysis/13. Column in Index.mp4
52.23MB
3. Data Analysis/14. Output of Data.mp4
47.9MB
3. Data Analysis/15. Functions of iX Method.mp4
70.98MB
3. Data Analysis/16. InPlace Parameter.mp4
34.41MB
3. Data Analysis/17. Inspecting the Space.mp4
31.44MB
3. Data Analysis/18. Reducing the Space.mp4
69.86MB
3. Data Analysis/19. Using in Country Series.mp4
27.93MB
3. Data Analysis/2. Selective Columns and Rows.mp4
17.85MB
3. Data Analysis/20. Creating Manual Data Frame.mp4
32.65MB
3. Data Analysis/21. Random Sampling with Pandas.mp4
31.36MB
3. Data Analysis/22. Concept of Dummy Coding.mp4
82.49MB
3. Data Analysis/23. Creating Dummified Values.mp4
82.44MB
3. Data Analysis/24. Duplicates in Data Frame.mp4
48.63MB
3. Data Analysis/25. Functions for Date and Time.mp4
68.89MB
3. Data Analysis/26. Setting with Copy Warning.mp4
37.69MB
3. Data Analysis/27. Example on Copy Warning.mp4
35.34MB
3. Data Analysis/28. Changing the Display Option.mp4
39.66MB
3. Data Analysis/29. Formatting the Data.mp4
53.04MB
3. Data Analysis/3. Data Frame and Series.mp4
11.15MB
3. Data Analysis/30. Tricks for Display Options.mp4
39.81MB
3. Data Analysis/31. Data with Rows and Columns.mp4
41.09MB
3. Data Analysis/32. Converting Data Frame.mp4
18.44MB
3. Data Analysis/4. Axis Parameter.mp4
28.86MB
3. Data Analysis/5. String Methods in Pandas.mp4
28.94MB
3. Data Analysis/6. Changing the Data Types.mp4
31.5MB
3. Data Analysis/7. Example of Data Type Change.mp4
27.59MB
3. Data Analysis/8. Group by Functions.mp4
30.96MB
3. Data Analysis/9. Functions on Series.mp4
30.77MB
4. Azure Data Lake/1. Introduction to Azure Data Lake.mp4
47.42MB
4. Azure Data Lake/10. More on Crosstab.mp4
67.56MB
4. Azure Data Lake/11. More Options with Crosstab.mp4
80.08MB
4. Azure Data Lake/12. Functions of Pivot.mp4
29.92MB
4. Azure Data Lake/13. Pivot Table Method.mp4
62.54MB
4. Azure Data Lake/14. Example on Pivot Table.mp4
88.06MB
4. Azure Data Lake/15. Data Frame to CSV File.mp4
57.34MB
4. Azure Data Lake/16. Using Excel Functions.mp4
58.69MB
4. Azure Data Lake/2. Merging Data Frames.mp4
70.34MB
4. Azure Data Lake/3. Shaping a Data Frame.mp4
54.88MB
4. Azure Data Lake/4. Filling NA Values.mp4
24.74MB
4. Azure Data Lake/5. Importing Time Series Data.mp4
59.66MB
4. Azure Data Lake/6. Working with Interpolate Method.mp4
67.92MB
4. Azure Data Lake/7. Stacking and Unstacking.mp4
80.8MB
4. Azure Data Lake/8. Stacking and Unstacking for 3 Levels.mp4
33.76MB
4. Azure Data Lake/9. Concept of Crosstab.mp4
50.41MB
5. Summary/1. Summary on Pandas.mp4
9.02MB
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