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`*.prv` traces, but is designed with a view to adding support for\nadditional formats.\n\n## Requirements\n\n  * [Extrae] (for trace capture)\n  * [Paraver/Paramedir] (for trace analysis)\n  * [Dimemas] *optional* (for ideal network analysis)\n  * [Numpy]\n  * [Pandas]\n\n[Extrae]: https://tools.bsc.es/extrae\n[Paraver/Paramedir]: https://tools.bsc.es/paraver#batchprocessing\n[Dimemas]: https://tools.bsc.es/dimemas\n[Numpy]: https://numpy.org/\n[Pandas]: https://pandas.pydata.org/\n\n\n``Paramedir`` and ``Dimemas`` must be available on the system PATH (Linux ``$PATH`` or Windows\n``%PATH%`` variables) so that they can be found by PyPOP.\n\n## Installation\n\nPyPOP itself can be installed using the `pip` package manager:\n\n```bash\n$ pip install [--user] NAG-PyPOP\n```\n\nThe optional `--user` directive instructs pip to install to the users home directory instead of the\nsystem site package directory.\n\n**N.B: Some linux distributions are still shipping Python2 alongside Python3. PyPOP requires\nPython3 and so you may need to install using the `pip3` command rather than the `pip` command.**\n\nNote that the [Extrae] tool is needed to collect application traces and the [Paraver/Paramedir] and\n[Dimemas] tools must be installed for trace Analysis.\n\n## Usage\n\nJupyter notebooks are intended to be the primary interface to PyPOP.  This guide uses several\nexample notebooks to demonstrate the core functionality of PyPOP for calculation of the POP Metrics\nas well as advanced analysis of trace files.\n\nPyPOP comes with example notebooks. These are located in the examples directory, which can be\nfound using the `pypop.examples` module:\n\n```bash\n$ python -m pypop.examples\n/home/phil/repos/pypop/pypop/examples\n```\n\nCopy these to directory where you have read permissions, e.g.\n\n```bash\n  $ cp -vr $(python -m pypop.examples) $HOME/pypop_examples\n```\n\nThese notebooks demonstrate usage of the main elements of the package.\n\nSee the [quickstart] guide and [API documentation] for more detail on usage.\n\n[quickstart]: https://numericalalgorithmsgroup.github.io/pypop/quickstart.html\n[API documentation]: https://numericalalgorithmsgroup.github.io/pypop/api/pypop.html\n\nCopyright (c) 2019, Numerical Algorithms Group Ltd.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnumericalalgorithmsgroup%2Fpypop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnumericalalgorithmsgroup%2Fpypop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnumericalalgorithmsgroup%2Fpypop/lists"}