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        "author": "Patrick Cole",
        "author_email": "pcole@geoscience.org.za",
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            "Development Status :: 5 - Production/Stable",
            "Environment :: Win32 (MS Windows)",
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            "Intended Audience :: Education",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Overview\n========\n\nPyGMI stands for Python Geoscience Modelling and Interpretation. It is a modelling and interpretation suite aimed at magnetic, gravity and other datasets.\n\nPyGMI is developed at the `Council for Geoscience <http://www.geoscience.org.za>`_ (Geological Survey of South Africa).\n\nIt includes:\n\n* Magnetic and Gravity 3D forward modelling\n* Cluster Analysis\n* Routines for cutting, reprojecting and doing simple modifications to data\n* Convenient display of data using pseudo-color, ternary and sunshaded representation.\n* It is released under the `Gnu General Public License version 3.0 <http://www.gnu.org/copyleft/gpl.html>`_\n\nThe PyGMI `Wiki <http://patrick-cole.github.io/pygmi/index.html>`_ pages, include installation and full usage!\n\nThe latest release version can be found `here <https://github.com/Patrick-Cole/pygmi/releases>`_.\n\nIf you have any comments or queries, you can contact the author either through `GitHub <https://github.com/Patrick-Cole/pygmi>`_ or via email at pcole@geoscience.org.za\n\nRequirements\n------------\nPyGMI will run on both Windows and Linux. It should be noted that the main development is done in Python 3.7 on Windows.\n\nPyGMI is developed and has been tested with the following libraries in order to function:\n\n* python 3.7.4\n* GDAL 2.4.1\n* llvmlite 0.29.0\n* matplotlib 3.1.1\n* numba 0.45.1\n* numexpr 2.6.9\n* numpy 1.16.4\n* pillow 4.2.1\n* pandas 0.24.2\n* pyopengl 3.1.3b2\n* pyqt5 5.13.0\n* scipy 1.3.0\n* scikit_learn 0.21.3\n* setuptools 41.0.1\n\nInstallation\n------------\nGeneral (Not Anaconda)\n----------------------\nThe easiest way to install pygmi if you are working in a python environment is to use the pip command as follows:\n\n   pip install pygmi\n\nThis will download pygmi from PyPI and install it within your python repository. Please note the use of pip when installing PyGMI may cause Anaconda installations to break. Anaconda users should follow the instructions below.\n\nAlternatively, if you satisfy the requirements, you can download pygmi either from Github or PyPI, extract it and run the following command from within the extracted directory:\n\n   python setup.py install\n\nIn either case, running pygmi can be now done at the command prompt as follows:\n\n   pygmi\n\nIf you are in python, you can run PyGMI by using the following commands:\n\n   import pygmi\n   pygmi.main()\n\n\nIf you prefer not to install pygmi as a library, or if there is a problem with running it in that matter, you can simply execute the following command to run it manually:\n\n   python quickstart.py\n\nWindows Users\n-------------\nInstallers are available in `64-bit <https://github.com/Patrick-Cole/pygmi/releases>`_\n\nAlternatively, you can use the instructions above to run PyGMI with your local python installation. You may need to install some dependencies using downloaded binaries, because of compilation requirements. Therefore, if you do get an error, you can try installing precompiled binaries before installing PyGMI.\n\nExamples of binaries you may need to get are:\n\n* numexpr\n* numba\n* llvmlite\n* GDAL\n\nThey can be obtained from the `website <http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_ by Christoph Gohlke.\n\nYou may also need to install the `Microsoft Visual C++ 2015 Redistributable <https://www.visualstudio.com/downloads/download-visual-studio-vs#d-visual-c>`_.\n\nLinux\n-----\nLinux normally comes with python installed, but the additional libraries will still need to be installed. One convenient option is to install the above libraries through `Anaconda Python <http://continuum.io/downloads>`_.\n\nAnaconda\n--------\nAnaconda users are advised not to use pip since it can break PyQt5. Instead, you can install anaconda3 using the regular method, and then:\n\n   conda update --all\n   conda install numba\n   conda install scipy\n   conda install pyopengl\n   conda install gdal\n   conda install scikit-learn\n   conda install pandas\n   conda install matplotlib\n   conda install numexpr\n   conda install numpy\n   conda install pillow\n   conda install setuptools\n\nAlternatively if you use environments you can simply use the following command:\n\n   conda create -n pygmi2 scipy numba gdal pandas matplotlib numexpr numpy setuptools pillow pyopengl scikit-learn\n\nOnce this is done, download pygmi, extract it to a directory, and run it from its root directory with the following command:\n\n   python quickstart.py\n\nAlternatively, if you satisfy the requirements, you can run the following command from within the extracted directory:\n\n   python setup_anaconda.py install\n\nRunning pygmi can be now done at the command prompt as follows:\n\n   pygmi\n\n\n",
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        "keywords": "Geophysics Magnetic Gravity Modelling Interpretation",
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