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        "description": "# Dython\n\n[![PyPI Version](https://img.shields.io/pypi/v/dython.svg)](https://pypi.org/project/dython/)\n[![License](https://img.shields.io/pypi/l/dython.svg)](https://github.com/shakedzy/dython/blob/master/LICENSE)\n\nA set of **D**ata analysis tools in p**YTHON** 3.x.\n\nDython was designed with analysis usage in mind - meaning ease-of-use, functionality and readability are the core \nvalues of this library. Production-grade performance, on the other hand, were not considered.\n\n## Documentation:\nModules documentation can be found on [shakedzy.xyz/dython](http://shakedzy.xyz/dython)\n\n## Installation:\nDython can be installed directly using `pip`:\n```\npip install dython\n```\nIf you wish to install from source:\n```\ngit clone https://github.com/shakedzy/dython.git\npip install ./dython\n```\n\n**Dependencies:** `numpy`, `pandas`, `seaborn`, `scipy`, `matplotlib`, `sklearn`\n\n## Contributing:\nContributions are always welcomed - if you found something you can fix, or have an idea for a new feature, feel free to write it and open a pull request. Please make sure to go over the [contributions guidelines](CONTRIBUTING.md).\n\n-------------\n\n### Related blogposts:\nRead more about the Nominal tools on [The Search for Categorical Correlation](https://medium.com/@shakedzy/the-search-for-categorical-correlation-a1cf7f1888c9)\n\n\n",
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