🧠 What Python Caches — and What It Does Not

1. 1Explore Python's object caching using the `id()` function to check for identical objects
2. 2Run a test using `a = 1; b = 1; print(id(a) == id(b))` to see if small integers are cached
3. 3Configure a test for string interning using `a = 'hello'; b = 'hello'; print(id(a) == id(b))` to check if identical strings are cached
4. 4Test the caching behavior for larger integers and floats using `a = 1000; b = 1000; print(id(a) == id(b))`
5. 5Apply this knowledge to optimize your code by reusing cached objects where possible

Developers and software engineers can benefit from understanding Python's caching mechanism to improve code performance and efficiency

💡 Python caches small integers (-5 to 256) and interned strings to improve performance

🧠 Did you know Python caches small integers and strings? Learn how to optimize your code using this knowledge!