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Python’s functools – The Hidden Powerhouse You’re Not Using! 🚀
When we talk about Python, we often focus on loops, classes, data structures, and frameworks. But did you know that Python has a hidden functional programming toolkit that can make your code faster, more readable, and more efficient?
Meet functools – a standard library module packed with powerful decorators and utilities that can optimize your Python code in ways you never imagined.
In this post, we’ll dive deep into functools, covering:
✅ Caching and Performance Optimization with lru_cache
✅ Reducing Boilerplate Code with partial
✅ Making Objects Hashable with total_ordering
✅ Memoization and Stateful Functions
✅ Comparing Objects the Easy Way
Let’s unlock the true potential of functools! 🚀
🔹 1. Speeding Up Functions with lru_cache
Ever called the same function multiple times with the same input? Instead of recalculating results over and over, use lru_cache to store previous results and speed up execution!
