It is equivalen Let’s start. 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. The itertools.product() function is for exactly this situation. 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. It … Like all python functions that accept a variable number of arguments, we can pass a list to itertools.product for unpacking, with the * operator. In this post, I used a typical ML experiment as an example, and made a comparison with sklearn’s GridSearchCV. 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 Simply put, iterators are data types that can be used in a for loop. Using itertools.product with dictionaries. 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. For example, product(A, B) returns the same as ((x,y) for x in A for y in B). It is equivalent to nested for-loops. 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. 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. The Python itertools module is a collection of tools for handling iterators. 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. It is a part of itertools module and is very useful in this case. Learn itertools.cycle() in Python with examples. itertools : This is a package of various methods that are used to iterate with fast and efficient manner. 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. Example of a double loop with 1000 elements: The result of itertools.product() is faster to unpack. 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