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        "author": "Johns Hopkins Turbulence Database Group",
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            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "# pyJHTDB\n\nPython wrapper for the [JHU Turbulence Database Cluster](http://turbulence.pha.jhu.edu/) library.\nMore information can be found at [http://turbulence.pha.jhu.edu/help/python/](http://turbulence.pha.jhu.edu/help/python/).\n\n## Use pyJHTDB through SciServer  (RECOMMENDED)\nThe SciServer is a cloud-based data-driven cluster, of The Institute for Data Intensive Engineering and Science (IDIES) at Johns Hopkins University. Users get the advantages of more reliable and faster data access since the SciServer is directly connected to JHTDB through a 10 Gigabit ethernet connection. SciServer provides docker containers with the pyJHTDB library pre-installed.\n\nTo use pyJHTDB through Sciserver:\n```\nLogin to [SciServer](http://turbulence.pha.jhu.edu/) (may need to create a new account first).\nClick on *Compute* and then *Create container* (You could also run jobs in batch mode, by selecting Compute Jobs).\nType in *Container name*, select *JH Turbulence DB* in *Compute Image* and then click on *Create*.\nClick on the container you just created, then you could start using pyJHTDB with Python or IPython Notebook.\n```\nPlease go to [SciServer](http://turbulence.pha.jhu.edu/) for more information on SciServer as well as the help on Sciserver.\n\n## Use pyJHTDB on local computers\n\n### Installing pypi version (RECOMMENDED)\n\nIf you have *pip*, you can simply do this:\n```\npip install pyJHTDB\n```\nIf you're running unix (i.e. some MacOS or GNU/Linux variant), you will probably need to have a `sudo` in front of the `pip` command. If you don't have `pip` on your system, it is quite easy to get it following the instructions at [http://pip.readthedocs.org/en/latest/installing.html](http://pip.readthedocs.org/en/latest/installing.html).\n\n### Installing from source\n\n```\ngit clone https://github.com/idies/pyJHTDB.git\ncd pyJHTDB\npython update_turblib.py\npip install --upgrade ./\n```\n\n## Basic usage\n\nOn first contact with this library, we recommend that you first run\n``test_plain``. To be more specific:\n```\nfrom pyJHTDB import test_plain\ntest_plain()\n```\n\nThe code that is executed can be found in *pyJHTDB/test.py*, and it's the simplest example of how to access the turbulence database.\n\n## Configuration\n\nWhile our service is open to anyone, we would like to keep track of who is using the service, and how. To this end, we would like each user or site to obtain an authorization token from us: [http://turbulence.pha.jhu.edu/help/authtoken.aspx](http://turbulence.pha.jhu.edu/help/authtoken.aspx)\n\nFor simple experimentation, the default token included in the package should be valid.",
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