{ "info": { "author": "TU Wien", "author_email": "remote.sensing@geo.tuwien.ac.at", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python" ], "description": "=========\npygeobase\n=========\n\nThe pygeobase package implements base class definitions for the I/O interface used in pytesmo_, pynetCF_, and other packages.\n\n.. _pytesmo: https://github.com/TUW-GEO/pytesmo\n.. _pynetCF: https://github.com/TUW-GEO/pynetCF\n\nDocumentation\n=============\n\n.. image:: https://readthedocs.org/projects/pygeobase/badge/?version=latest\n :target: http://pygeobase.readthedocs.org/en/latest/?badge=latest\n :alt: Documentation Status\n\nInstallation\n============\n\nThis package should be installable through pip::\n\n pip install pygeobase\n\nIts only dependecy is ``numpy``. But to use it effectively you will also probably want to install pygeogrids_.\n\n.. _pygeogrids: https://github.com/TUW-GEO/pygeogrids\n\nSetup Development environment\n-----------------------------\n\n1. Install Miniconda_. This will give you the ``conda`` command in your shell.\n2. Run ``conda env create -f conda_environment.yml`` this will install all the\n dependencies listed in the ``conda_environment.yml`` file in this repository.\n By default this will create a new conda enviroment with the name ``pygeobase_env``.\n This can be changed by editing the ``conda_environment.yml`` file.\n\n.. _Miniconda: http://conda.pydata.org/miniconda.html\n\nExample installation script\n---------------------------\n\nThe following script will install miniconda and setup the environment on a UNIX\nlike system. 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