The Little Book of Python Anti-Patterns and Worst Practice

The Little Book of Python Anti-Patterns and Worst Practice

By QuantifiedCode
Book Description

Welcome, fellow Pythoneer! This is a small book of Python anti-patterns and worst practices.

Learning about these anti-patterns will help you to avoid them in your own code and make you a better programmer (hopefully). Each pattern comes with a small description, examples and possible solutions. You can check many of them for free against your project at QuantifiedCode.

Read online.

Table of Contents
  • Why did we write this?
  • Who are we?
  • How is this book organized?
  • References
  • Licensing
  • Contributing
  • List of Maintainers
  • Index Of Patterns
    • Correctness
      • Accessing a protected member from outside the class
      • Assigning a lambda expression to a variable
      • Assigning to built-in function
      • Bad except clauses order
      • Bad first argument given to super()
      • else clause on loop without a break statement
      • __exit__ must accept 3 arguments: type, value, traceback
      • Explicit return in __init__
      • __future__ import is not the first non-docstring statement
      • Implementing Java-style getters and setters
      • Indentation contains mixed spaces and tabs
      • Indentation contains tabs
      • Method could be a function
      • Method has no argument
      • Missing argument to super()
      • Using a mutable default value as an argument
      • No exception type(s) specified
      • Not using defaultdict()
      • Not using else where appropriate in a loop
      • Not using explicit unpacking
      • Not using get() to return a default value from a dict
      • Not using setdefault() to initialize a dictionary
    • Maintainability
      • using wildcard imports (from ... import *)
      • Not using with to open files
      • Returning more than one variable type from function call
      • Using the global statement
      • Using single letter to name your variables
      • Dynamically creating variable/method/function names
    • Readability
      • Asking for permission instead of forgiveness
      • Comparing things to None the wrong way
      • Comparing things to True the wrong way
      • Using type() to compare types
      • Not using dict comprehensions
      • Not using dict keys when formatting strings
      • Not using items() to iterate over a dictionary
      • Not using named tuples when returning more than one value from a function
      • Not using unpacking for updating multiple values at once
      • Not using zip() to iterate over a pair of lists
      • Putting type information in a variable name
      • Test for object identity should be is
      • Using an unpythonic loop
      • Using map() or filter() where list comprehension is possible
      • Using CamelCase in function names
    • Security
      • use of exec
    • Performance
      • Using key in list to check if key is contained in list
      • Not using iteritems() to iterate over a large dictionary
    • Django
      • Maintainability
      • Security
      • Correctness
      • Performance
      • Migration to 1.8
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