It Works on My Machine - Writing Python Code for Any Environment

It Works on My Machine - Writing Python Code for Any Environment

EuroPython Conference via YouTube Direct link

Major Points

30 of 30

30 of 30

Major Points

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Classroom Contents

It Works on My Machine - Writing Python Code for Any Environment

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  1. 1 Intro
  2. 2 Familiar?
  3. 3 Why does compatibility matter?
  4. 4 What will be covered?
  5. 5 The Example Application AWS Command Line Interface
  6. 6 Renaming: Intro
  7. 7 No six compatibility
  8. 8 String Types: Intro
  9. 9 Python String Types
  10. 10 Python 2
  11. 11 Limitations: Intro
  12. 12 Backports
  13. 13 File Handling: Intro
  14. 14 Problem - Issues when concurrently writing to the same file on Windows
  15. 15 Lessons Learned
  16. 16 File Paths: Intro aws s3 cp --recursive
  17. 17 Example: Linux
  18. 18 Example: Windows
  19. 19 Functionality: Intro
  20. 20 Solution (cont.)
  21. 21 Writing: Intro
  22. 22 Dependencies
  23. 23 Best Practices: Inputs
  24. 24 Best Practices: File Handling
  25. 25 Best Practices: Env. Specific
  26. 26 Best Practices: Main Points
  27. 27 Running: Intro
  28. 28 Running: Example
  29. 29 Running: Systems
  30. 30 Major Points

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