How do list comprehensions compare to traditional loops in Python?

How do list comprehensions compare to traditional loops in Python?

List comprehensions are generally faster than traditional loops because they are optimized for performance in Python.

Can you give me an example of both?

Sure! Here's a traditional loop:

result = []
for i in range(10):
    result.append(i * 2)

And here's the equivalent list comprehension:

result = [i * 2 for i in range(10)]

What makes list comprehensions faster?

List comprehensions reduce the overhead of function calls and loop iterations, allowing for more efficient execution.

Are there any downsides to using list comprehensions?

Yes, if the comprehension becomes too complex, it can reduce readability. It's best to keep them simple.