The itertools module includes a set of functions for working with iterable (sequence-like) data sets. But with itertools from Python, we can express iteration in a more elegant way. itertools.cycle, which infinitely cycles through iterables; itertools.permutations, which finds all the permutations (order matters) itertools.combinations, which finds all the combinations (order does not matter) You can check out the Python documentation on the itertools module. Recently I needed a way to infinitely loop over a list in Python. Python provides a module called itertools which, as the name suggests, provides a bunch of conveniences for dealing with iterations and looping. Consider two states of a bulb: “on” and “off”. Iterators terminating on shortest input sequence like accumulate(), chain(), compress(), dropwhile(), filterfalse(),islice(), strmap(),etc each … In this example, we first imported the zip_longest module from itertools. Python Module Itertools Example Python / By Richard Trump Python standard library module itertools provides a lot of convenient and flexible iterator functions, if you are familiar with it can greatly improve your working efficiency. Itertools provides us with three different types of iterators. Introduction. Infinite iterators As it seems, they produce the same output. ... $ python itertools_cycle.py (1, 'a') (2, 'b') (3, 'c') (4, 'a') (5, 'b') (6, 'c') (7, 'a') (8, 'b') (9, 'c') The repeat() function returns an iterator that produces the same value each time it is accessed. Are Itertools Infinite in Python? Itertools used for iterations present in the python 3 library are infinite iterators like count(), cycle(), repaeat(). Like all python functions that accept a variable number of arguments, we can pass a list to itertools.product for unpacking, with the * operator. Itertools is a library that creates efficient iterators. Iteration brings change, and in repetition, the lack of change. Python Itertools Module: Cycle and Repeat Use the itertools module. Together, they form an “iterator algebra” making it possible to construct specialized tools succinctly and efficiently in pure Python. The module standardizes a core set of fast, memory efficient tools that are useful by themselves or in combination. 1. Thus, its = [xrange(10)] * 2 for x,y in itertools.product(*its): print x, y This logic can be expressed with imperative loops. While you could spend your entire python career without ever having to touch this module, trust me when I say your life will be enriched if you at least know about what is available in itertools. These iterators work faster than the normal iteration. itertools grouped under functional programming modules, is a popular python module to build useful iterators. This is useful if you want to keep switching between states in your application. 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