itertools - Efficient Iterators in Python

itertools is a standard Python library that provides a collection of fast, memory-efficient tools for working with iterators. It includes functions for creating combinations, permutations, infinite sequences, and various forms of iterator chaining. itertools is especially useful for handling large datasets, performing combinatorial tasks, and building efficient loops without consuming excessive memory. It’s widely used in data processing, algorithm design, and competitive programming.

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Installation:
itertools is included in Python’s standard library, so no installation is required.

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Example usage:

import itertools

# Generate all 2-combinations of a list
for combo in itertools.combinations([1, 2, 3], 2):
    print(combo)

# Infinite counting
for i in itertools.count(5):
    if i > 10:
        break
    print(i)

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PyPI page: Not applicable (standard library)
GitHub page: https://github.com/python/cpython

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3 Project Ideas:

1. Generate all possible combinations of items in a dataset for analysis.
2. Create a program that simulates permutations for game or puzzle solving.
3. Build an iterator-based pipeline to process large streams of data efficiently.