Python itertools

Research query: Python itertools · jobs: 1 · on-topic sources: 1 · review: Thin

Overview

Substantially all of these recipes and many, many others can be installed from the more-itertools project found on the Python Package Index: python -m pip install more-itertools Many of the recipes offer the same high performance as the underlying toolset. — itertools — Functions creating iterators for efficient looping — Python 3.13.18 documentation (2001)

How to apply

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Deep look

Other

itertools — Functions creating iterators for efficient looping — Python 3.13.18 documentation (2001)

itertools — Functions creating iterators for efficient looping — Python 3.13.18 documentation Navigation index modules | next | previous | Python » 3.13.18 Documentation » The Python standard library » Functional Programming Modules » itertools — Functions creating iterators for efficient looping | Theme Auto Light Dark | itertools — Functions creating iterators for efficient looping¶ This module implements a number of iterator building blocks inspired by constructs from APL, Haskell, and SML. (new this job) — source

If n is None, consume entirely." # Use functions that consume iterators at C speed. if n is None: deque(iterator, maxlen=0) else: next(islice(iterator, n, n), None) def nth(iterable, n, default=None): "Returns the nth item or a default value." return next(islice(iterable, n, None), default) def quantify(iterable, predicate=bool): "Given a predicate that returns True or False, count the True results." return sum(map(predicate, iterable)) def first_true(iterable, default=False, predicate=None): "Returns the first true value or the default if there is no true value." # first_true([a,b,c], x) → a or b or c or x # first_true([a,b], x, f) → a if f(a) else b if f(b) else x return next(filter(predicate, iterable), default) def all_equal(iterable, key=None): "Returns True if all the elements are equal to each other." # all_equal('4٤௪౪໔', key=int) → True return len(take(2, groupby(iterable, key))) 2: yield 2 data = bytearray((0, 1)) * (n // 2) for p in iter_index(data, 1, start=3, stop=isqrt(n) + 1): data[pp : n : p+p] = bytes(len(range(pp, n, p+p))) yield from iter_index(data, 1, start=3) def factor(n): "Prime factors of n." # factor(99) → 3 3 11 # factor(1_000_000_000_000_007) → 47 59 360620266859 # factor(1_000_000_000_000_403) → 1000000000000403 for prime in sieve(isqrt(n) + 1): while not n % prime: yield prime n //= prime if n == 1: return if n 1: yield n def is_prime(n): "Return True if n is prime." # is_prime(1_000_000_000_000_403) → True return n 1 and next(factor(n)) == n def totient(n): "Count of natural numbers up to n that are coprime to n." # https://mathworld.wolfram.com/TotientFunction.html # totient(12) → 4 because len([1, 5, 7, 11]) == 4 for prime in set(factor(n)): n -= n // prime return n Table of Contents itertools — Functions creating iterators for efficient looping Itertool Functions Itertools Recipes Previous topic Functional Programming Modules Next topic functools — Higher-order functions and operations on callable objects This page Report a bug Show source « Navigation index modules | next | previous | Python » 3.13.18 Documentation » The Python standard library » Functional Programming Modules » itertools — Functions creating iterators for efficient looping | Theme Auto Light Dark | © Copyright 2001-2026, Python Software Foundation. (new this job) — source

Review

Status Thin. Verified claims 3. On-topic sources 1 (reused 0). Dropped 0 collector hit(s) and 0 off-topic local claim(s). Conflicts 0. Coverage: python, itertools.

Map

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Provenance

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