*** Proof of Product ***
Exploring the Essential Features of “Stone River eLearning – Data Analysis with Python and Pandas”
- 1. Source Code-20 off
- O. Proof.pdf
- 1. Course Introduction.ts
- 2. Getting Pandas and Fundamentals.mp4
- 3. Section Conclusion.ts
- 4. Section introduction.ts
- 5. Creating and Navigating a Dataframe.mp4
- 6. Slices, head and tail.ts
- 7. Indexing.ts
- 8. Visualizing The Data.ts
- 9. Converting To Python List Or Pandas Series.ts
- 10. Section Conclusion.ts
- 11. Section introduction.ts
- 12. Read Csv And To Csv.ts
- 13. io operations.ts
- 14. Read_hdf and to_hdf.ts
- 15. Read Json And To Json.ts
- 16. Read Pickle And To Pickle.ts
- 17. Section Conclusion.ts
- 18. Section introduction.ts
- 19. Column Manipulation (Operatings on columns, creating new ones).ts
- 20. Column and Dataframe logical categorization.ts
- 21. Statistical Functions Against Data.ts
- 22. Moving and rolling statistics.ts
- 23. Rolling apply.ts
- 24. Section Outro.ts
- 25. Section Intro.ts
- 26. drop na.ts
- 27. Filling Forward And Backward Na.ts
- 28. detecting outliers.ts
- 29. Section Conclusion.ts
- 30. Section Introduction.ts
- 32. Appending data frames.ts
- 33. Merging dataframes.ts
- 34. Joining dataframes.ts
- 35. Section Conclusion.ts
- 36. Section Introduction.ts
- 37. Basic Sorting.ts
- 38. Sorting by multiple rules.ts
- 39. Resampling basics time and how (mean, sum etc).ts
- 40. Resampling to ohlc.ts
- 41. Correlation and Covariance Part 1.ts
- 42. Correlation and Covariance Part 2.ts
- 43. Mapping custom functions.ts
- 43. Mapping custom functions.ts
- 44. Graphing percent change of income groups.ts
- 45. Buffering basics.ts
- 46. Buffering Into And Out Of Hdf5.ts
- 47. Section Conclusion.ts.com
- 48. Section Introduction.ts
- 49. Writing to reading from database into a data frame.ts
- 50. Resampling data and preparing graph.ts
- 51. Finishing Manipulation And Graph.ts
- 52. Section and course Conclusion.ts
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