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Python’s functools: The Secret Weapon for Writing Better Code 🚀
Most Python developers don’t fully explore the functools module, even though it contains some of the most powerful features for improving performance, code readability, and maintainability.
If you’ve never used functools, you’re missing out on some game-changing techniques!
In this post, we’ll explore how functools can optimize function calls, improve performance, and simplify your Python code. 🚀
🔹 What is functools?
The functools module is part of Python’s standard library and contains high-performance utilities for working with functions.
These utilities allow you to:
✅ Cache results for better performance
✅ Modify function behaviors dynamically
✅ Create functions with partial arguments
✅ Use custom sorting techniques
✅ Improve readability with decorators
Let’s unlock the full power of functools! 🔥
🔥 1. functools.lru_cache: Boost Performance with Caching
One of the biggest performance optimizations in Python is caching function results.
