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Linkedin - Python For Data Science Tips Tricks And Techniques

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  • 文件大小:228MB
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文件列表

  1. 2. Ingesting Data/3. Working with Parquet files.mp4 23MB
  2. 2. Ingesting Data/1. Working with JSON data.mp4 22MB
  3. 3. Exploring Data/1. Reading data with pandas.mp4 21MB
  4. 4. Visualizing Data/1. Basic charts in Plotly.mp4 15MB
  5. Exercise Files/03_03.ipynb 15MB
  6. 4. Visualizing Data/2. Small multiples with Plotly.mp4 14MB
  7. 2. Ingesting Data/4. Reading data from GitHub API.mp4 14MB
  8. 3. Exploring Data/3. Aggregating data with pandas.mp4 13MB
  9. 4. Visualizing Data/4. Finishing your data visualizations in Plotly.mp4 13MB
  10. 4. Visualizing Data/3. Using color in Plotly.mp4 12MB
  11. 3. Exploring Data/4. Exporting data with pandas.mp4 12MB
  12. 3. Exploring Data/2. Inspecting DataFrames with pandas.mp4 9MB
  13. Exercise Files/03_01.ipynb 8MB
  14. 2. Ingesting Data/2. Working with CSV files.mp4 8MB
  15. 1. Introduction/4. Set up on Windows.mp4 6MB
  16. 1. Introduction/5. Set up on Mac.mp4 5MB
  17. 1. Introduction/1. Discover new tips and tricks for Python.mp4 4MB
  18. 1. Introduction/3. Using the exercise files.mp4 3MB
  19. Exercise Files/data/diamonds.csv 3MB
  20. Exercise Files/03_02.ipynb 2MB
  21. Exercise Files/01_03.ipynb 2MB
  22. 5. Conclusion/1. Next steps and additional resources.mp4 1MB
  23. Exercise Files/data/MonthlyProductSales.csv 515KB
  24. Exercise Files/03_04.ipynb 398KB
  25. 1. Introduction/2. What you should know.mp4 382KB
  26. Exercise Files/data/MonthlyProductSales.parquet 74KB
  27. Exercise Files/02_02.ipynb 18KB
  28. Exercise Files/data/mpg.csv 16KB
  29. Exercise Files/01_01.ipynb 12KB
  30. Exercise Files/01_02.ipynb 9KB
  31. Exercise Files/01_04.ipynb 7KB
  32. Exercise Files/02_04.ipynb 7KB
  33. Exercise Files/02_01.ipynb 4KB
  34. Exercise Files/02_03.ipynb 2KB
  35. Exercise Files/data/monthlySalesbyCategoryMultiple.json 2KB
  36. Exercise Files/data/MonthlySales.csv 1019B
  37. Exercise Files/data/anscombes-quartet.csv 607B
  38. Exercise Files/data/anscombes-quartet-hier.csv 496B