What are the best practices for using generators in Python?

What are the best practices for using generators in Python?

Some best practices include using generators for large data sets, keeping them simple, and avoiding side effects.

Can you explain why using generators is better for large data sets?

Generators yield items one at a time, which saves memory compared to loading all items at once.

What are some common mistakes to avoid when using generators?

Common mistakes include not handling exceptions properly and trying to access generator values multiple times.

How can I convert a generator to a list?

You can convert a generator to a list by using the list() function, like this: my_list = list(my_generator).