What are some common performance mistakes in Python?

What are some common performance mistakes in Python?

Some common performance mistakes include using inefficient data structures, excessive memory usage, and not utilizing built-in functions.

Can you give examples of inefficient data structures?

Sure! Using lists for membership tests instead of sets can be inefficient, as sets have O(1) average time complexity.

What about memory usage? How can I optimize that?

You can optimize memory usage by using generators instead of lists for large datasets, as they yield items one at a time.

Are there any built-in functions that can help with performance?

Yes! Functions like map(), filter(), and list comprehensions can be more efficient than traditional loops.