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Introduction to Genetic Algorithms with Python - Hello World!

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4.47/5 (19 votes)
6 Jun 2016Apache10 min read
A hands-on, step-by-step introduction to machine learning with genetic algorithms using Python.




This article, along with any associated source code and files, is licensed under The Apache License, Version 2.0


About the Author

Clinton Sheppard
Software Developer (Senior)
United States United States
I am a polyglot programmer with more than 15 years of professional programming experience and author of Genetic Algorithms with Python. When learning a new programming language, I start with a familiar problem and try to learn enough of the new language to solve it. For me, writing a genetic engine is that familiar problem. Why a genetic engine? For one thing, it is a project where I can explore interesting puzzles, and where even a child's game like Tic-Tac-Toe can be viewed on a whole new level. Also, I can select increasingly complex puzzles to drive evolution in the capabilities of the engine. This allows me to discover the expressiveness of the language, the power of its tool chain, and the size of its development community as I work through the idiosyncrasies of the language.

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