Here’s an example with Python iterables: the Cartesian product of A = [1, 2] and B = ['a', 'b'] is [(1, 'a'), (1, 'b'), (2, 'a'), (2, 'b')]. One such tool in Python that advocates the idea of it being efficient is the use of itertools.product() which computes the cartesian product of input iterables. 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 : This is a package of various methods that are used to iterate with fast and efficient manner. Generating all combinations taking one element from each list in Python can be done easily using itertools.product function. The short solution is as follows: list = [list1, list2] combinations = [p for p in itertools.product(*list)] Read on to understand how this is working better. Some more python recursion examples — posted 2011-10-05 Free Computer Science courses online — posted 2009-06-30 Find the N longest lines in a file with Python — posted 2009-06-28 In this post, I used a typical ML experiment as an example, and made a comparison with sklearn’s GridSearchCV. python - itertools.product slower than nested for loops - Stack Overflow; The following is the result of measuring the execution time with the magic command %%timeit in Jupyter Notebook. python | Jul 20, 2019 In a previous post, I talked about using itertools.product with lists. Thus, its = [xrange(10)] * 2 for x,y in itertools.product(*its): print x, y produces the same results as both of the previous examples. itertools.product() This tool computes the cartesian product of input iterables. The itertools.product() function is for exactly this situation. Sample Code >>> from itertools import product >>> >> 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.product() in Python - Hacker Rank Solution. Using itertools.product with dictionaries. Note that it cannot be measured by running it as Python code. It is equivalen itertools.product() This tool computes the cartesian product of input iterables. Thus, its = [xrange(10)] * 2 for x,y in itertools.product(*its): print x, y produces the same results as both of the previous examples. The Python itertools module is a collection of tools for handling iterators. Combinatoric iterators are related to an area of mathematics called enumerative combinatorics, which is concerned with the number of ways a given pattern can be formed. It is equivalent to nested for-loops. Simply put, iterators are data types that can be used in a for loop. Let’s start. 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