Modeling "rules in memory" with map() and filter()
In this video, I review the example of the previous video "A first look at the map-filter-reduce paradigm", and show how we can use the map() and filter() built-ins to solve the same problem without using the memory in a significant way. map() and filter() produce objects of types map and filter that can be though of as "rules in memory" that know to generate a "next" element without generating it yet. Then, the reduction step "pulls" out the mapped and filtered elements on a one-by-one basis. In the example, the built-in sum() function does that.
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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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