Python Linters at Scale

Python Linters at Scale

PyCon US via YouTube Direct link

Our Custom Python Autofixes: FlakeB

24 of 26

24 of 26

Our Custom Python Autofixes: FlakeB

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Classroom Contents

Python Linters at Scale

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  1. 1 Intro
  2. 2 Python Codebases
  3. 3 Black: code formatting
  4. 4 isort: import sorting
  5. 5 Flake8: code style, syntax errors and bugs
  6. 6 mypy: type checking
  7. 7 Version Control
  8. 8 Continuous Integration (CI) Runs
  9. 9 Large Codebase
  10. 10 Multiple Codebases
  11. 11 Checklist for Speeding up Linters
  12. 12 Only run necessary analysis on updated code
  13. 13 pre-commit: manage pre-commit hooks
  14. 14 Remote Cache
  15. 15 Ruff: fast linter implementation using rust
  16. 16 Checklist for Improving Developer Experience
  17. 17 Understand Developer Experience
  18. 18 fixit: Python linters and autofixes using LibCST
  19. 19 Our Custom Python Linters: Github Check with annotations
  20. 20 Our Custom non-Python Linters: rebase reminder
  21. 21 Our Custom Python Linters: deprecation toolkit
  22. 22 Reusable Workflows
  23. 23 Automated Refactoring
  24. 24 Our Custom Python Autofixes: FlakeB
  25. 25 Our Custom non-Python Autofixes: notify-reviewer-teams
  26. 26 Recap

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