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Commit e16062b

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PyGAD 2.14.0 Released
Changes in PyGAD 2.14.0 1. Issue #40 is solved. Now, the None value works with the crossover_type and mutation_type parameters: #40 2. The gene_type parameter supports accepting a list/tuple/numpy.ndarray of numeric data types for the genes. This helps to control the data type of each individual gene. Previously, the gene_type can be assigned only to a single data type that is applied for all genes. 3. A new bool attribute named gene_type_single is added to the pygad.GA class. It is True when there is a single data type assigned to the gene_type parameter. When the gene_type parameter is assigned a list/tuple/numpy.ndarray, then gene_type_single is set to False. 4. The mutation_by_replacement flag now has no effect if gene_space exists except for the genes with None values. For example, for gene_space=[None, [5, 6]] the mutation_by_replacement flag affects only the first gene which has None for its value space. 5. When an element has a value of None in the gene_space parameter (e.g. gene_space=[None, [5, 6]]), then its value will be randomly generated for each solution rather than being generate once for all solutions. Previously, the gene with None value in gene_space is the same across all solutions 6. Some changes in the documentation according to issue #32: #32 
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‎README.md

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# GeneticAlgorithmPython: Building Genetic Algorithm in Python
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[This project](https://github.com/ahmedfgad/GeneticAlgorithmPython) is part of [PyGAD](https://pypi.org/project/pygad) which is an open-source Python 3 library for building the genetic algorithm and optimizing machine learning algorithms.
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[This project](https://github.com/ahmedfgad/GeneticAlgorithmPython) is part of [PyGAD](https://pypi.org/project/pygad) which is an open-source Python 3 library for building the genetic algorithm and optimizing machine learning algorithms (Keras & PyTorch).
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Check documentation of the [GeneticAlgorithmPython](https://github.com/ahmedfgad/GeneticAlgorithmPython) project in the PyGAD's documentation: https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html
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To install [PyGAD](https://pypi.org/project/pygad), simply use pip to download and install the library from [PyPI](https://pypi.org/project/pygad) (Python Package Index). The library lives a PyPI at this page https://pypi.org/project/pygad.
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For Windows, issue the following command:
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```python
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pip install pygad
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```
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For Linux and Mac, replace `pip` by use `pip3` because the library only supports Python 3.
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Install PyGAD with the following command:
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```python
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pip3 install pygad

‎__init__.py

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from .pygad import * # Relative import.
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__version__ = "2.13.0"
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__version__ = "2.14.1"

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