1.0.0

First major version for Genetic Evolutionary Algorithms for Python that includes:

• examples folder with examples on how to define evolutionary algorithms
• main classes Experiment and GenotypeModel to create and evolve Genotypes
• algorithms module to use standard evolution or define your own algorithms
• fitness module to create your phenotype's evaluators
• tools modules for creating crossover, mutation and selection methodologies
• database module with interface for neo4j databases
• set of tests and tox environments to ensure style, security and functional quality

What's Changed

• small fix on docstr definitions by @BorjaEst in #3
• add selection tools for algorithms by @BorjaEst in #4
• simplify selection tool methods by @BorjaEst in #5
• add mutation tools by @BorjaEst in #6
• del asserts from non testing modules by @BorjaEst in #7
• selete mutpb fixture for testing mutations by @BorjaEst in #8
• add crossover tools module by @BorjaEst in #9
• updt README with tools modules designs by @BorjaEst in #10
• add algorithms module by @BorjaEst in #11
• add finess modules by @BorjaEst in #12
• add database module by @BorjaEst in #13
• add small code fixtures by @BorjaEst in #14
• add experiments module by @BorjaEst in #15
• improve tests and db cleanup by @BorjaEst in #16
• recover del_phenotypes test by @BorjaEst in #17
• add ipynb example by @BorjaEst in #18
• add visibility to db example connection comments by @BorjaEst in #19
• release first major version by @BorjaEst in #20

Full Changelog: 0.1.0...1.0.0