A first look at the map-filter-reduce paradigm
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".
Get it on GitHub: https://github.com/webartifex/intro-t...
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Alexander Hess, PhD Student
WHU - Otto Beisheim School of Management, Vallendar, Germany
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