A Comprehensive Guide to List Comprehensions
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A Comprehensive Guide to List Comprehensions
Oct 17 ·4min read
Let’s be honest — your feature engineering skills probably aren’t at a level you want them to be, and you don’t know what to do about it. For a long period ( longer than I’d like to admit ) I’ve been using all kind of Pandas operations spread out on multiple rows, just to perform simple operations — like extracting a part of one column into another — when in reality most of the stuff can be done in one line of code.
List comprehensionsare a way of doing so. If I was trying to sell you something, now would be the time to tell you how they are simple and intuitive, and they are ( after spending a couple of days dangling with them ), but for a beginner, they might seem intimidating.
This article will try to explain list comprehensions in as simple language as possible and show their use cases in data science. Now there’s no much point of me yapping around, so let’s dive straight in.
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