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        "author": "Oliver Hung Buo Tso",
        "author_email": "olivertsor@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3 :: Only",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics",
            "Topic :: Software Development"
        ],
        "description": "=====\nPDEPy\n=====\n\n.. image:: https://img.shields.io/pypi/v/pdepy.svg\n    :target: https://pypi.org/project/pdepy/\n\n.. image:: https://travis-ci.org/olivertso/pdepy.svg?branch=master\n    :target: https://travis-ci.org/olivertso/pdepy\n\n.. image:: https://coveralls.io/repos/github/olivertso/pdepy/badge.svg?branch=master\n    :target: https://coveralls.io/github/olivertso/pdepy?branch=master\n\nOverview\n--------\n\n**Disclaimer: Use at your own risk. I have a bachelor's degree in applied and computational mathematics, but never worked professionally in the field.**\n\nA python 3 library for solving initial and boundary value problems of some linear partial differential equations using finite-difference methods:\n\n-  Laplace\n\n   -  implicit central\n\n-  Parabolic\n\n   -  explicit central\n   -  explicit upwind\n   -  implicit central\n   -  implicit upwind\n\n-  Wave\n\n   -  explicit\n   -  implicit\n\nGetting Started\n---------------\n\nInstalling\n\"\"\"\"\"\"\"\"\"\"\n\n::\n\n    pip install pdepy\n\nExamples\n\"\"\"\"\"\"\"\"\n\n**Laplace's Equation:**\n\n.. code-block:: python\n\n    import numpy as np\n    from pdepy import laplace\n\n    xn, xf, yn, yf = 30, 3., 40, 4.\n\n    x = np.linspace(0, xf, xn+1)\n    y = np.linspace(0, yf, yn+1)\n\n    f = lambda x, y: (x-1)**2 - (y-2)**2\n    bound_x0 = f(0, y)\n    bound_xf = f(xf, y)\n    bound_y0 = f(x, 0)\n    bound_yf = f(x, yf)\n\n    axis  = (x, y)\n    conds = (bound_x0, bound_xf, bound_y0, bound_yf)\n\n    laplace.solve(axis, conds, method='ic')\n\n**Parabolic Equation:**\n\n.. code-block:: python\n\n    import numpy as np\n    from pdepy import parabolic\n\n    xn, xf, yn, yf = 40, 4., 50, 0.5\n\n    x = np.linspace(0, xf, xn+1)\n    y = np.linspace(0, yf, yn+1)\n\n    init  = x**2 - 4*x + 5\n    bound = 5 * np.exp(-y)\n\n    p, q, r, s = 1, 1, -3, 3\n\n    axis   = (x, y)\n    conds  = (init, bound, bound)\n    params = (p, q, r, s)\n\n    parabolic.solve(axis, params, conds, method='iu')\n\n**Wave Equation:**\n\n.. code-block:: python\n\n    import numpy as np\n    from pdepy import wave\n\n    xn, xf, yn, yf = 40, 1., 40, 1.\n\n    x = np.linspace(0, xf, xn+1)\n    y = np.linspace(0, yf, yn+1)\n\n    d_init = 1\n    init   = x * (1-x)\n    bound  = y * (1-y)\n\n    axis  = (x, y)\n    conds = (d_init, init, bound, bound)\n\n    wave.solve(axis, conds, method='i')\n\nDeveloping and Testing\n----------------------\n\n::\n\n    pip install tox\n    pip install -e .\n\n    # Testing.\n    tox\n\n    # Always remove .tox/ after changing the files in ./requirements.\n    rm -rf .tox/\n\n\nPackaging and Distributing\n--------------------------\n\nDo not forget to update the :code:`version` field in :code:`setup.py`.\n\n::\n\n    pip install twine\n\n    # Packaging.\n    python setup.py sdist\n    python setup.py bdist_wheel\n\n    # Distributing.\n    twine upload dist/*\n\nMore about packaging and distributing `here <https://packaging.python.org/tutorials/distributing-packages/>`_.\n\n\n",
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