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DEAP documentation — DEAP 1.4.3 documentation
Explore DEAP, a Python framework for building and testing evolutionary algorithms, with clear documentation and tools for rapid prototyping and parallelization.
Prototype evolutionary algorithms with ease
DEAP is a Python-based framework designed to help you quickly create and experiment with evolutionary algorithms. Whether you're new to evolutionary computation or an experienced developer, the documentation guides you through building your own algorithms and understanding the key concepts involved.
The site offers in-depth explanations, examples, and references to help you leverage DEAP's features, including support for parallel processing and transparent data structures. It's a great resource if you're looking to test ideas, prototype solutions, or learn more about evolutionary computation in a hands-on way.
You'll find everything you need to get started, from installation instructions to advanced usage tips, all aimed at making your development process smoother and more efficient.
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