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python's itertools module provides a collection of tools for working with iterators efficiently. among these tools is imap(), which is a powerful function for applying a given function to every item yielded by one or more input iterators. in this tutorial, we'll explore how to use itertools.imap() effectively with code examples.
itertools.imap() is similar to python's built-in map() function, but it's optimized for handling iterators. it takes two or more iterators and applies a specified function to corresponding elements of each iterator, yielding the results one by one.
the syntax for itertools.imap() is:
here, function is the function to apply, and iterable1, iterable2, etc., are the iterators whose elements will be passed to function.
let's dive into some code examples to see itertools.imap() in action.
output:
in this example, the add() function is applied to corresponding elements of numbers1 and numbers2 iterables. the result is an iterator containing the sum of corresponding elements.
output:
in this example, a lambda function is used to multiply corresponding elements of numbers and multipliers iterables.
output:
here, the square() function is applied to each element of the numbers iterable.
in this tutorial, you learned about python's itertools.imap() function, which applies a given function to corresponding elements of one or more iterators. you also saw various examples demonstrating its usage in different scenarios. itertools.imap() is a powerful tool for efficiently processing iterable data in python applications.
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