1. Know which version of python you’re using
  2. Follow the PEP 8 style guide
  3. Know the differences Between bytes, str, and unicode
  4. Write helper functions instead of complex expressions
  5. Know how to slice sequences
  6. Avoid using start, end and stride in a single slice
  7. Use list comprehensions instead of map and filter
  8. Avoid more than two expressions in list comprehensions
  9. Consider generator expressions for large comprehensions
  10. Prefer enumerate over range
  11. Use zip to process iterators in parallel
  12. Avoid else blocks after for and while loops
  13. Take advantage of each block in try/except/else/finally
  14. Prefer exceptions to returning None
  15. Know how closures interact with variable scope
  16. Consider generators instead of returning lists
  17. Be Defensive when iterating over arguments
  18. Reduce visual noise with variable positional arguments
  19. Provide optional behavior with keyword arguments
  20. Use None and Docstrings to specify dynamic default arguments
  21. Enforce clarity with Keyword-only arguments
  22. Prefer helper classes over bookkeeping wih dictionaries and tuples
  23. Accept functions for simple interfaces instead of classes
  24. Use @classmethod polymorphism to construct objects generically
  25. Initialize parent classes with super
  26. Use multiple inheritance only for mix-in utility classes
  27. Prefer public attributes over private ones
  28. Inherit from collections.abc for custom container types
  29. Use plain attributes instead of Get and Set methods
  30. Consider @property instead of refactoring attributes
  31. Use descriptors for reusable @property methods
  32. Use __getattr__, __getattribute__, and __setattr__ for lazy attributes
  33. Validate subclasses with metaclasses
  34. Register class existence with metaclasses
  35. Annotate class attributes with metaclasses
  36. Use subprocess to manage child processes
  37. Use threads for blocking I/O, avoid for parallelism
  38. Use Lock to prevent data races in threads
  39. Use Queue to coordinate work between threads
  40. Consider coroutines to run many functions concurrently
  41. Consider concurrent.futures for true parallelism
  42. Define function decorators with functools.wraps
  43. Consider contextlib and with statements for reusable try/finally behavior
  44. Make pickle reliable with copyreg
  45. Use datetime instead of time for local clocks
  46. Use built-in algorithms and data structures
  47. Use decimal when precision is paramount
  48. Know where to find coummunity-built modules
  49. Write docstrings for every function, class, and module
  50. Use packages to organize modules and provide stable APIs
  51. Define a root Exception to insulate callers from APIs
  52. Know how to break circular dependencies
  53. Use virtual environments for isolated and reproducible dependencies
  54. Consider module-scoped code to configure deployment environments
  55. Use repr strings for debugging output
  56. Test everything with unittest
  57. Consider interactive debugging with pdb
  58. Profile before optimizing
  59. Use tracemalloc to understand memory usage and leaks