L2 zip

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World Poker Tour V Avatar V1. Family Guy V8. Wheel of Fortune V5. This is precisely what is called parallel iteration. You may think of using the range object with the for loop.

Well, let's give it a try. The code is in the snippet below. And you create a range object as shown below and use the index i to access the item at position i in each of the iterables. As you might have guessed by now, this works as expected only when all the iterables contain the same number of items. Consider the case where one or more of the lists are updated — say, one list may have an item removed from it, and another may have an item added to it.

This would cause confusion:. Let's now see how Python's zip function can help us iterate through multiple lists in parallel. Read ahead to find out. Let's start by looking up the documentation for zip and parse it in the subsequent sections. The following illustration helps us understand how the zip function works by creating an iterator of tuples from two input lists, L1 and L2.

The result of calling zip on the iterables is displayed on the right. As a first example, let's pick two lists L1 and L2 that contain 5 items each. Let's call the zip function and pass in L1 and L2 as arguments. If you go back to the documentation, the second item in the numbered list reads: "The iterator stops when the shortest input iterable is exhausted.