Python is one of the most popular languages in 2021.

The simple syntax makes it a popular choice for newbie programmers.

Because of the dynamic nature and flexibility, Python developers are sometimes prone to writing faulty, inefficient code.

This article will introduce readers to common anti-patterns found in Python and propose fixes that will lead to better developer practices.

  • Using map() and filter() On Iterable Objects
  • Using List Comprehensions When Input Is Large
  • The Case for Not Using range()
  • The Problem With Missing Dictionary Keys
  • Lazy Keyword and Positional Arguments Design

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5 Common Anti-Patterns in Python
3.75 GEEK