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By re-using the same classes and design principles, we can make new\nmethods both easier to implement and easier to use, thereby bringing the power\nof COBRA to more researchers.\n\nThe documentation is browseable online at `readthedocs\n`_ and can also be `downloaded\n`_.\n\nPlease use the `Google Group `_ for\nhelp. By writing a well formulated question, with sufficient detail, you are\nmuch more likely to quickly receive a good answer! Please refer to these\n`StackOverflow guidelines `_ on how\nto ask questions. Alternatively, you can use `gitter.im\n`_ for quick questions and discussions\nabout COBRApy (faster response times). Please keep in mind that answers are\nprovided on a volunteer basis.\n\nMore information about opencobra is available at the `website\n`_.\n\nIf you use COBRApy in a scientific publication, please cite\n`doi:10.1186/1752-0509-7-74 `_\n\nInstallation\n============\n\nUse pip to `install COBRApy from PyPI `_ (we\nrecommend doing this inside a `virtual environment\n`_)::\n\n pip install cobra\n\nIf you want to load MATLAB models, you will need additional dependencies. Please\ninstall::\n\n pip install cobra[array]\n\nFor further information, please follow the `detailed installation instructions\n`_.\n\nContributing\n============\n\nContributions are always welcome! Please read the `contributing guidelines\n`_ to\nget started.\n\nLicense\n=======\n\nThe COBRApy source is released under both the GPL and LGPL licenses version 2 or\nlater. You may choose which license you choose to use the software under.\n\nThis program is free software: you can redistribute it and/or modify it under\nthe terms of the GNU General Public License or the GNU Lesser General Public\nLicense as published by the Free Software Foundation, either version 2 of the\nLicense, or (at your option) any later version.\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY\nWARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A\nPARTICULAR PURPOSE. See the GNU General Public License for more details.\n\n=======================\nInstallation of COBRApy\n=======================\n\nFor installation help, please use the `Google Group\n`_. For usage instructions, please see\nthe `documentation `_.\n\nWe only test against Python 3.6+, however, Python 3.4 or higher and even 2.7\nshould work mostly. For Windows users and possibly also Mac OS users, we\nrecommend using the `Anaconda Python `_ distribution.\n\nStable version installation\n===========================\n\nCOBRApy can be installed with any recent installation of pip. Instructions for\nseveral operating systems are below:\n\nMac OS X or Linux\n-----------------\n\n1. We highly recommend that you create a `Python virtual environment\n `_.\n2. Install COBRApy when an environment is active by running ``pip install\n cobra`` in the terminal.\n\nMicrosoft Windows\n-----------------\n\nIf you heed our recommendation to use Anaconda, you can open an Anaconda shell\nand install COBRApy from the ``bioconda`` channel. Soon it should also be\navailable from the ``conda-forge`` channel.\n\n.. code-block:: console\n\n conda install -c bioconda cobra\n\nInstallation for development\n============================\n\nGet the `detailed contribution instructions <.github/CONTRIBUTING.rst>`_ for\ncontributing to COBRApy.\n\nSolvers\n=======\n\nCOBRApy uses `optlang `_ to interface the\nmathematical solvers used to optimize the created COBRA models. At the time of\nwriting the supported solvers are:\n\n- ILOG/CPLEX (available with `Academic\n `_ and\n `Commercial\n `_\n licenses)\n- `Gurobi `_\n- `GLPK `_ which is automatically installed\n as swiglpk\n\n\n",
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