In what situations do you prefer to use generators for solving tasks?

Generators in Python are useful when working with large amounts of data or sequences that you don't want to load entirely into memory. They allow creating iterators that compute elements "on the fly".

I use generators when:

• Processing large files or data streams.
• Lazy evaluation of sequence elements is needed.
• I want to improve performance and reduce memory consumption.

Example of a generator:

def count_up_to(max):
    count = 1
    while count <= max:
        yield count
        count += 1

for number in count_up_to(5):
    print(number)

This code outputs numbers from 1 to 5 without creating the entire list at once.