We often ignore the features and tools a language may have that can help us with iterative tasks. Typically, when we work with iterable objects, we loop through them using basic tools like for loops. We'll start by defining iterable objects and iteration functions and then proceed to look at some examples of the four iteration functions mentioned above. The first item in both iterables is paired, the second item in both iterables is paired together, and so on.
zip() - The zip() function takes two iterable objects and returns a tuple of paired elements.map() - The map() function creates an iterable map object that applies a specified transformation to every element in a chosen iterable.islice() - The islice() function allows the user to loop through an iterable with a start and stop, and returns a generator.It then tests every element in the sequence to determine if the element fits the filtering criteria, returning only the elements that match that criteria.
filter() - The filter() function takes in a provided sequence or iterable along with a filtering criteria (a function or lambda).
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This guide will show you how to use Python itertools to iterate through objects via: Python provides its users with a number of useful functions and data structures that make working with data easier, including tools used to efficiently loop through data - known as itertools. Python has touched the hearts of many software developers around the world, thanks to its utility and simplicity.
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