Linkedin Python For Data Science Tips Tricks And Techniques

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Uploader
xHOBBiTx
Source
1 1337x
Downloads
50
Type
Tutorials
Language
English
Category
Other
Size
227.7 MB
Added
2024-03-05 15:22 (2 years, 8 months ago)
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Files
  1. 1. Discover new tips and tricks for Python.mp44.3 MB
  2. 2. What you should know.mp4381.8 KB
  3. 3. Using the exercise files.mp43.1 MB
  4. 4. Set up on Windows.mp46.4 MB
  5. 5. Set up on Mac.mp44.9 MB
  6. 1. Working with JSON data.mp421.8 MB
  7. 2. Working with CSV files.mp47.6 MB
  8. 3. Working with Parquet files.mp423.2 MB
  9. 4. Reading data from GitHub API.mp413.7 MB
  10. 1. Reading data with pandas.mp420.9 MB
  11. 2. Inspecting DataFrames with pandas.mp49.3 MB
  12. 3. Aggregating data with pandas.mp412.8 MB
  13. 4. Exporting data with pandas.mp411.9 MB
  14. 1. Basic charts in Plotly.mp415.2 MB
  15. 2. Small multiples with Plotly.mp414.3 MB
  16. 3. Using color in Plotly.mp412.3 MB
  17. 4. Finishing your data visualizations in Plotly.mp412.6 MB
  18. 1. Next steps and additional resources.mp41.5 MB
  19. 01_01.ipynb11.7 KB
  20. 01_02.ipynb9.2 KB
  21. 01_03.ipynb2.4 MB
  22. 01_04.ipynb7.3 KB
  23. 02_01.ipynb3.9 KB
  24. 02_02.ipynb18.2 KB
  25. 02_03.ipynb1.7 KB
  26. 02_04.ipynb7.0 KB
  27. 03_01.ipynb8.3 MB
  28. 03_02.ipynb2.5 MB
  29. 03_03.ipynb14.8 MB
  30. 03_04.ipynb398.1 KB
  31. MonthlyProductSales.csv515.1 KB
  32. MonthlyProductSales.parquet74.2 KB
  33. MonthlySales.csv1019 bytes
  34. anscombes-quartet-hier.csv496 bytes
  35. anscombes-quartet.csv607 bytes
  36. diamonds.csv2.6 MB
  37. monthlySalesbyCategoryMultiple.js?v=1.05on1.6 KB
  38. mpg.csv15.7 KB

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