Can you give an example of using a generator that helps reduce memory consumption?

Generators in Python allow iterating over a sequence of data without loading the entire sequence into memory at once. This is especially useful when working with large volumes of data.

Example: instead of creating a list of millions of numbers, you can use a generator that yields numbers one by one:

# Generator that returns squares of numbers from 0 to n-1
def squares(n):
    for i in range(n):
        yield i * i

# Using the generator
for square in squares(10**6):
    # Process each square one by one
    pass

Thus, memory is used only for the current value, not for the entire list at once.