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        "author_email": "leszek.grzanka@gmail.com",
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        "description": "# pymchelper\n\n  \n**pymchelper** is a toolkit for aiding users of the particle transport codes, such as [FLUKA](http://fluka.cern/) and [SHIELD-HIT12A](https://shieldhit.org/).\nParticle transport codes produce binary files (especially when running on dedicated computing clusters).\nIt provides a command line program `convertmc` which can convert these binary files to graphs:\n```\nconvertmc image --many \"*.bdo\"\n```\n\n<p float=\"left\">\n  <img src=\"/docs/default_1d.png\" width=\"30%\" />\n  <img src=\"/docs/default_2d.png\" width=\"30%\" /> \n</p>\n\nThis converter is capable of converting binary output to many other formats, like CSV, XLS or HDF.\n  \nAnother feature of the toolkit is a command line utility `runmc` which speeds up particle transport simulation by splitting the calculation on multiple processes and merging the results\n\n```\nrunmc --jobs 16 --out-type txt directory_with_input_files\n```\n \nToolkit can also serve as a library in Python language, which can be used by programmers and data scientists to read data from binary files into convenient Python objects. This allows further data processing using other Python tools and libraries.\n\n**pymchelper** works under Linux, Windows and Mac OSX operating systems.\n\n## Installation\n\nTo install **pymchelper** as a python package, type:\n```\npip install pymchelper[all]\n```\n\nOn Linux systems from Debian family **pymchelper** can be installed using `apt` package manager::\n```\nwget --quiet --output-document - https://datamedsci.github.io/deb_package_repository/public.gpg | sudo apt-key add -\nsudo wget --quiet --output-document /etc/apt/sources.list.d/datamedsci.list https://datamedsci.github.io/deb_package_repository/datamedsci.list\nsudo apt update\nsudo apt install pymchelper\n```\n\n## Documentation\n\n-------------\n\n Full pymchelper documentation can be found here: https://datamedsci.github.io/pymchelper/index.html\n\nSee [Getting Started](https://datamedsci.github.io/pymchelper/getting_started.html) for installation and basic information, and the [User's Guide](https://datamedsci.github.io/pymchelper/user_guide.html) for an overview of how to use the project.\n\n\n",
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