Effective Python : 59 specific ways to write better Python

Effective Python 59 specific ways to write better Python

Brett Slatkin

Book - 2015

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Subjects
Python (Computer program language)
Computer programming.
Published
Upper Saddle River, NJ : Addison-Wesley [2015]
Language
English
Main Author
Brett Slatkin (author)
Item Description
Includes index.
Physical Description
xv, 227 pages ; 23 cm
ISBN
9780134034287
  • Preface
  • Acknowledgments
  • About the Author
  • Chapter 1. Pythonic Thinking
  • Item 1. Know Which Version of Python You're Using
  • Item 2. Follow the PEP 8 Style Guide
  • Item 3. Know the Differences Between bytes, str, and unicode
  • Item 4. Write Helper Functions Instead of Complex Expressions
  • Item 5. Know How to Slice Sequences
  • Item 6. Avoid Using start, end, and stride in a Single Slice
  • Item 7. Use List Comprehensions Instead of map and filter
  • Item 8. Avoid More Than Two Expressions in List Comprehensions
  • Item 9. Consider Generator Expressions for Large Comprehensions
  • Item 10. Prefer enumerate Over range
  • Item 11. Use zip to Process Iterators in Parallel
  • Item 12. Avoid else Blocks After for and while Loops
  • Item 13. Take Advantage of Each Block in try/except/else/finally
  • Chapter 2. Functions
  • Item 14. Prefer Exceptions to Returning None
  • Item 15. Know How Closures Interact with Variable Scope
  • Item 16. Consider Generators Instead of Returning Lists
  • Item 17. Be Defensive When Iterating Over Arguments
  • Item 18. Reduce Visual Noise with Variable Positional Arguments
  • Item 19. Provide Optional Behavior with Keyword Arguments
  • Item 20. Use None and Docstrings to Specify Dynamic Default Arguments
  • Item 21. Enforce Clarity with Keyword-Only Arguments
  • Chapter 3. Classes and Inheritance
  • Item 22. Prefer Helper Classes Over Bookkeeping with Dictionaries and Tuples
  • Item 23. Accept Functions for Simple Interfaces Instead of Classes
  • Item 24. Use @classmethod Polymorphism to Construct Objects Generically
  • Item 25. Initialize Parent Classes with super
  • Item 26. Use Multiple Inheritance Only for Mix-in Utility Classes
  • Item 27. Prefer Public Attributes Over Private Ones
  • Item 28. Inherit from collections.abc for Custom Container Types
  • Chapter 4. Metaclasses and Attributes
  • Item 29. Use Plain Attributes Instead of Get and Set Methods
  • Item 30. Consider @property Instead of Refactoring Attributes
  • Item 31. Use Descriptors for Reusable @property Methods
  • Item 32. Use getattr, getattribute, and setattr for Lazy Attributes
  • Item 33. Validate Subclasses with Metaclasses
  • Item 34. Register Class Existence with Metaclasses
  • Item 35. Annotate Class Attributes with Metaclasses
  • Chapter 5. Concurrency and Parallelism
  • Item 36. Use subprocess to Manage Child Processes
  • Item 37. Use Threads for Blocking I/O, Avoid for Parallelism
  • Item 38. Use Lock to Prevent Data Races in Threads
  • Item 39. Use Queue to Coordinate Work Between Threads
  • Item 40. Consider Coroutines to Run Many Functions Concurrently
  • Item 41. Consider concurrent, futures for True Parallelism
  • Chapter 6. Built-in Modules
  • Item 42. Define Function Decorators with functools.wraps
  • Item 43. Consider contextlib and with Statements for Reusable try/finally Behavior
  • Item 44. Make pickle Reliable with copyreg
  • Item 45. Use datetime Instead of time for Local Clocks
  • Item 46. Use Built-in Algorithms and Data Structures
  • Item 47. Use decimal When Precision Is Paramount
  • Item 48. Know Where to Find Community-Built Modules
  • Chapter 7. Collaboration
  • Item 49. Write Docstrings for Every Function, Class, and Module
  • Item 50. Use Packages to Organize Modules and Provide Stable APIs
  • Item 51. Define a Root Exception to Insulate Callers from APIs
  • Item 52. Know How to Break Circular Dependencies
  • Item 53. Use Virtual Environments for Isolated and Reproducible Dependencies
  • Chapter 8. Production
  • Item 54. Consider Module-Scoped Code to Configure Deployment Environments
  • Item 55. Use repr Strings for Debugging Output
  • Item 56. Test Everything with unittest
  • Item 57. Consider Interactive Debugging with pdb
  • Item 58. Profile Before Optimizing
  • Item 59. Use tracemalloc to Understand Memory Usage and Leaks
  • Index

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