How do context managers improve performance in Python?

How do context managers improve performance in Python?

Context managers help manage resources efficiently, ensuring proper allocation and deallocation, which can enhance performance.

Can you give me an example of a context manager in action?

Sure! A common example is using with open('file.txt') as f: which automatically closes the file after the block.

What are the benefits of using context managers over traditional try-finally blocks?

Context managers simplify code, reduce boilerplate, and handle exceptions more gracefully than try-finally blocks.

Are there any performance drawbacks to using context managers?

Generally, context managers improve performance, but if misused, they can introduce overhead. It's essential to use them appropriately.