What are the best practices for using iterables in Python?

What are the best practices for using iterables in Python?

When using iterables in Python, it's important to consider readability, performance, and memory efficiency. For instance, prefer using generator expressions over list comprehensions for large datasets to save memory.

Can you give me an example of a generator expression?

Sure! A generator expression looks like this: squared = (x**2 for x in range(10)). You can iterate over squared without creating a full list in memory.

What about using built-in functions with iterables?

Using built-in functions like map(), filter(), and reduce() can enhance performance and readability. For example, map(lambda x: x**2, iterable) applies a function to all items in the iterable.

Are there any common pitfalls to avoid?

Yes, avoid modifying an iterable while iterating over it, as this can lead to unexpected behavior. Also, be cautious with nested loops, as they can lead to performance issues.