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handcraftsman/GeneticAlgorithmsWithPython resource

source code from the book Genetic Algorithms with Python by Clinton Sheppard observed · 2026-08-28

github.com/handcraftsman/GeneticAlgorithmsWithPython · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3583
  • days_rel: n/a
  • days_push: 1416
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1259 stars · 453 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Source code repository accompanying the book 'Genetic Algorithms with Python' by Clinton Sheppard. It provides step-by-step tutorial projects that teach genetic algorithms and genetic programming through hands-on Python examples.

Use cases

  • learn genetic algorithms in python
  • find source code for the genetic algorithms with python book
  • tutorial on solving optimization problems with evolutionary algorithms
  • example implementations of the 8 queens puzzle and graph coloring
  • introduction to genetic programming with python

When to choose

  • you want a hands-on, tutorial-driven introduction to genetic algorithms in Python
  • you prefer learning through small example projects like password guessing, sorting, and the 8 queens puzzle
  • you want reference implementations to adapt to your own optimization problems

When to avoid

  • you need a production-ready genetic algorithm library or framework
  • you want modern maintained tooling - the code is book companion material
  • you need other machine learning techniques like neural networks or deep learning

Facets

learning-resource · maturity maintenance

machine-learning developer-tools machine-learning education tutorials python cross-platform genetic-algorithms book-source-code evolutionary-computation optimization tutorials algorithms

1 source

Member repositories

RepositoryRoleHealth v2
handcraftsman/GeneticAlgorithmsWithPythonmain32

For agents

markdown · JSON · MCP: product_card(name="handcraftsman/GeneticAlgorithmsWithPython")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem