How can I optimize memory usage in my Python application?

How can I optimize memory usage in my Python application?

You can optimize memory usage in Python by using generators, avoiding global variables, and utilizing built-in data structures efficiently.

What are generators and how do they help with memory optimization?

Generators are iterators that yield items one at a time, which allows you to iterate over large datasets without loading everything into memory.

Can you give me an example of using a generator?

Sure! Here's a simple example: instead of returning a list, you can use 'yield' in a function to create a generator that produces items one at a time.

Are there any libraries that can help with memory optimization?

Yes, libraries like NumPy and Pandas are optimized for memory usage and can handle large datasets more efficiently than standard Python lists.