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[ FreeCourseWeb com ] Udemy - Pandas with Python for Data Science
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1. Introduction
1. Introduction to Pandas with Python.mp4
1. Introduction to Pandas with Python.srt
2. Data Set
1. Understanding Jupiter Environment.mp4
1. Understanding Jupiter Environment.srt
2. Reading the Data Set.mp4
2. Reading the Data Set.srt
3. Series and Data Frame.mp4
3. Series and Data Frame.srt
4. Operations in Data Set.mp4
4. Operations in Data Set.srt
5. More on Panda Functions.mp4
5. More on Panda Functions.srt
6. Column Names and Operation.mp4
6. Column Names and Operation.srt
7. Removing Columns and Rows.mp4
7. Removing Columns and Rows.srt
8. Sorting Data Frame.mp4
8. Sorting Data Frame.srt
3. Data Analysis
1. Filter Multiple Criteria.mp4
1. Filter Multiple Criteria.srt
10. Plotting series in Pandas.mp4
10. Plotting series in Pandas.srt
11. Dealing with Null Values.mp4
11. Dealing with Null Values.srt
12. Uses of Index.mp4
12. Uses of Index.srt
13. Column in Index.mp4
13. Column in Index.srt
14. Output of Data.mp4
14. Output of Data.srt
15. Functions of iX Method.mp4
15. Functions of iX Method.srt
16. InPlace Parameter.mp4
16. InPlace Parameter.srt
17. Inspecting the Space.mp4
17. Inspecting the Space.srt
18. Reducing the Space.mp4
18. Reducing the Space.srt
19. Using in Country Series.mp4
19. Using in Country Series.srt
2. Selective Columns and Rows.mp4
2. Selective Columns and Rows.srt
20. Creating Manual Data Frame.mp4
20. Creating Manual Data Frame.srt
21. Random Sampling with Pandas.mp4
21. Random Sampling with Pandas.srt
22. Concept of Dummy Coding.mp4
22. Concept of Dummy Coding.srt
23. Creating Dummified Values.mp4
23. Creating Dummified Values.srt
24. Duplicates in Data Frame.mp4
24. Duplicates in Data Frame.srt
25. Functions for Date and Time.mp4
25. Functions for Date and Time.srt
26. Setting with Copy Warning.mp4
26. Setting with Copy Warning.srt
27. Example on Copy Warning.mp4
27. Example on Copy Warning.srt
28. Changing the Display Option.mp4
28. Changing the Display Option.srt
29. Formatting the Data.mp4
29. Formatting the Data.srt
3. Data Frame and Series.mp4
3. Data Frame and Series.srt
30. Tricks for Display Options.mp4
30. Tricks for Display Options.srt
31. Data with Rows and Columns.mp4
31. Data with Rows and Columns.srt
32. Converting Data Frame.mp4
32. Converting Data Frame.srt
4. Axis Parameter.mp4
4. Axis Parameter.srt
5. String Methods in Pandas.mp4
5. String Methods in Pandas.srt
6. Changing the Data Types.mp4
6. Changing the Data Types.srt
7. Example of Data Type Change.mp4
7. Example of Data Type Change.srt
8. Group by Functions.mp4
8. Group by Functions.srt
9. Functions on Series.mp4
9. Functions on Series.srt
4. Azure Data Lake
1. Introduction to Azure Data Lake.mp4
1. Introduction to Azure Data Lake.srt
10. More on Crosstab.mp4
10. More on Crosstab.srt
11. More Options with Crosstab.mp4
11. More Options with Crosstab.srt
12. Functions of Pivot.mp4
12. Functions of Pivot.srt
13. Pivot Table Method.mp4
13. Pivot Table Method.srt
14. Example on Pivot Table.mp4
14. Example on Pivot Table.srt
15. Data Frame to CSV File.mp4
15. Data Frame to CSV File.srt
16. Using Excel Functions.mp4
16. Using Excel Functions.srt
2. Merging Data Frames.mp4
2. Merging Data Frames.srt
3. Shaping a Data Frame.mp4
3. Shaping a Data Frame.srt
4. Filling NA Values.mp4
4. Filling NA Values.srt
5. Importing Time Series Data.mp4
5. Importing Time Series Data.srt
6. Working with Interpolate Method.mp4
6. Working with Interpolate Method.srt
7. Stacking and Unstacking.mp4
7. Stacking and Unstacking.srt
8. Stacking and Unstacking for 3 Levels.mp4
8. Stacking and Unstacking for 3 Levels.srt
9. Concept of Crosstab.mp4
9. Concept of Crosstab.srt
5. Summary
1. Summary on Pandas.mp4
1. Summary on Pandas.srt
Bonus Resources.txt
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