A first look at the map-filter-reduce paradigm
Channel: Alexander Hess - Pythonista
Date: 2021-02-18

In this video, I introduce the map-filter-reduce paradigm. Conceptually speaking, it is simply a classification scheme for the individual processing steps involved in some "bigger" computational problem. In the video, we use memory inefficient temporary lists to solve an easy task. In the next video, we revisit the example and show how built-in data types can help us get to a memory efficient solution.

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The lecture is based on the free book "Introduction to Python & Programming".
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Alexander Hess, PhD Student
WHU - Otto Beisheim School of Management, Vallendar, Germany 

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