Mastering Python Generators

Learn how to use generators for memory-efficient iteration.

Layla Mahmoud

Frontend developer and UI/UX specialist

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Python Generators

Generators provide lazy evaluation for memory efficiency.

Creating Generators

# Generator function
def count_up_to(n):
    i = 1
    while i <= n:
        yield i
        i += 1

# Usage
for num in count_up_to(5):
    print(num)

# Generator expression
squares = (x**2 for x in range(1000000))

Benefits

Memory efficient for large datasets
Lazy evaluation
Infinite sequences

{# Provenance for articles generated from a source document. Rendered here rather than stored in the body so it stays accurate and cannot be edited away, and so the sealed draft stays purely generated. #}

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Mastering Python Generators

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