Itertools is a module in Python, it is used to iterate over data structures that can be stepped over using a for-loop. Such data structures are also known as iterables. This module works as a fast, memory-efficient tool that is used either by themselves or in combination to form iterator algebra.
Why to use ?
This module incorporates functions that utilize computational resources efficiently. Using this module also tends to enhance the readability and maintainability of the code.
The grouper() function can be found in the Recipes section of the itertools docs. The recipes are an excellent source of inspiration for ways to use itertools to your advantage.
[(‘g’, ‘e’, ‘e’), (‘k’, ‘s’, ‘f’), (‘o’, ‘r’, ‘g’), (‘e’, ‘e’, ‘k’), (‘s’, None, None)]
Brute force scenario
Brute force is a straightforward method of solving a problem that relies on sheer computing power and trying every possibility rather than advanced techniques to improve efficiency. There are different Brute force itertools function such as:
The itertools.combinations() function takes two arguments—an iterable inputs and a positive integer n—and produces an iterator over tuples of all combinations of n elements in inputs.
combinations_with_replacement() works just like combinations(), accepting an iterable inputs and a positive integer n, and returns an iterator over n-tuples of elements from inputs. The difference is that combinations_with_replacement() allows elements to be repeated in the tuples it returns.
[(1, 1), (1, 2), (2, 2)]
A permutation is a collection or a combination of objects from a set where the order or the arrangement of the chosen objects does matter. permutations() accepts a single iterable and produces all possible permutations (rearrangements) of its elements.
[(‘g’, ‘e’, ‘k’), (‘g’, ‘k’, ‘e’), (‘e’, ‘g’, ‘k’), (‘e’, ‘k’, ‘g’), (‘k’, ‘g’, ‘e’), (‘k’, ‘e’, ‘g’)]
Flattening A List of Lists
Converting a list of lists (2D), into a list (1D) is called flattening. Flattening a list of lists merges all the sublists into one unified list.
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- Introduction to Python3
- Python Itertools
- Python - Itertools.tee()
- Why PyPy3 is preffered over Python3?
- New '=' Operator in Python3.8 f-string
- Positional-only Parameter in Python3.8
- Python3 for GUI application | An Overview
- How to implement Dictionary with Python3?
- How to print spaces in Python3?
- How to write Comments in Python3?
- Python - Itertools.islice()
- Python - Itertools.zip_longest()
- Combinations in Python without using itertools
- Python - Itertools.Product()
- Python - Itertools.Combinations_with_replacement()
- Python - Itertools.count()
- Python - Itertools.accumulate()
- Python - Itertools.filterfalse()
- Python - Itertools.dropwhile()
- Python - Itertools.compress()
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