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`numpy: Scientific Computing Tools For Python \u003chttps://numpy.org\u003e`_\n - `cython: C-extensions for Python \u003chttp://cython.org/\u003e`_\n - `h5py: Python interface for Hierarchal Data Format 5 (HDF5) \u003chttp://h5py.org\u003e`_\n - `scikit-learn: Machine Learning in Python \u003chttps://scikit-learn.org/stable/index.html\u003e`_\n - `future: Compatibility layer between Python 2 and Python 3 \u003chttp://python-future.org/\u003e`_\n\nDownload\n########\n\n| The program homepage is:\n| https://github.com/tsutterley/yapc\n| A zip archive of the latest version is available directly at:\n| https://github.com/tsutterley/yapc/archive/main.zip\n\nCredits\n#######\n\nYAPC was devised and is being developed by Jeff Lee (NASA Goddard Space Flight Center).\nThis project contains work and contributions from the `scientific community \u003c./CONTRIBUTORS.rst\u003e`_.\n\nDisclaimer\n##########\n\nThis program is not sponsored or maintained by the Universities Space Research Association (USRA) or NASA.\nIt is provided here for your convenience but *with no guarantees whatsoever*.\n\nLicense\n#######\n\nThe content of this project is licensed under the\n`Creative Commons Attribution 4.0 Attribution license \u003chttps://creativecommons.org/licenses/by/4.0/\u003e`_\nand the source code is licensed under the `MIT license \u003cLICENSE\u003e`_.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftsutterley%2Fyapc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftsutterley%2Fyapc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftsutterley%2Fyapc/lists"}