BeginnerCoder
Donate
Lesson 20 — lru_cache
Automatic memoization
The @lru_cache decorator caches a function's results for you. fib.cache_info() shows how many calls were answered from the cache (hits).
Why it matters: one line turns an expensive function fast and clean.
Add @lru_cache to fib, then print fib(30) and the number of cache hits.
Run your code — when the output matches the task, you will see a green check. Then mark the lesson complete.
Test your knowledgeA quick 3-question quiz on this lesson — instant feedback.
Ready for more? Optional paid resources that pick up where this lesson leaves off.
Some links on this page are affiliate links: we may earn a commission at no extra cost to you. As an Amazon Associate I earn from qualifying purchases.
Project-based Python Intermediate courses if you want a structured paid path after the free lessons. Wait for a sale — prices drop often.
Browse on Udemy →Search Amazon for Python Intermediate books — check the publication year so the examples match current versions.
Search Amazon →