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        "description": "# Dojo\n![Dojo_logo](./img/logo_transparent.png)\n\nDojo is a Machine Learning library for Python\n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. \n\n### Prerequisites\n\n* [Python](https://www.python.org/) - The Programming Language used.\n* [Pipenv](https://github.com/pypa/pipenv) - Dependency and Virtual Environment Management\n\n***Download for Mac OSX using Homebrew***\n```\nbrew install python\nbrew install pipenv\n```\n\n### Installing for development\n\nA step by step series of examples that tell you how to get a development env running\n\n1) Since we are using the **Python** programming language as a main language, you will need to download it.\nYou can do so from the official **Python** [website](https://www.python.org/).\n\n2) Once you have **Python** up and running we then need to setup our development env. For that\nwe are using **Pipenv**. You will need to install it. Check out [these](https://pipenv.readthedocs.io/en/latest/install/#installing-pipenv) instructions to see how is done.\n\n3) Now, that you have the prerequisites the only part left is too install all the other **Pyhton** packages\nthat **Dojo** depends on. To do run the following:\n    ```\n    pipenv install --dev\n    ```\n    The `--dev` tag is used in order **Pipenv** to know to install also the packages that are used in the\n    package development process.\n\n### Installing for use\n\nIf you plan just to use **Dojo** as a Machine Learning library you can install it using **pip** like so:\n```\npip install pydojoml\n``` \n\n## Running the tests\n\nComing soon...\n\n### Break down into end to end tests\n\nComing soon...\n\n### And coding style tests\n\nComing soon...\n\n## Built With\n\n* [NumPy](http://www.numpy.org/) - Fundamental package for scientific computing with Python\n* [SciPy](http://www.scipy.org/) - Package that provides many user-friendly and efficient numerical routines\n* [Matplotlib](http://www.matplotlib.org/) - Python 2D plotting library\n* [progressbar](https://pypi.org/project/progressbar/) - Text progress bar library for Python\n* [terminaltables](https://pypi.org/project/terminaltables/) - Easily draw tables in terminal/console applications\n\n## Contributing\n\nPlease read [CONTRIBUTING.md](https://github.com/VIVelev/PyDojoML/CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.\n\n## Versioning\n\nFor the versions available, see the [tags on this repository](https://github.com/VIVelev/PyDojoML/tags). \n\n## Authors\n\n* **Victor Velev** - *Initial work* - [VIVelev](https://github.com/VIVelev)\n\nSee also the list of [contributors](https://github.com/VIVelev/PyDojoML/contributors) who participated in this project.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details\n\n## Acknowledgments\n\n* **Eric Jones and Travis Oliphant and Pearu Peterson and others** for writing such great packages - the [SciPy](http://www.scipy.org/) ecosystem.\n* **Nilton Volpato** for writing [progressbar](https://pypi.org/project/progressbar/)\n* **Robpol86** for writing [terminaltables](https://pypi.org/project/terminaltables/)\n\n\n",
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