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        "description": "`nmmn` package\n================\n\nTools for astronomy, data analysis, time series, numerical simulations, gamma-ray astronomy and more! These are modules I wrote which I find useful\u2014for whatever reason\u2014in my research.\n\nList of modules available ([more info here](http://rsnemmen.github.io/nmmn/)):\n\n* `astro`: astronomy\n* `dsp`: signal processing\n* `lsd`: misc. operations on arrays, lists, dictionaries and sets\n* `stats`: statistical methods\n* `sed`: spectral energy distributions\n* `plots`: custom plots\n* `fermi`: Fermi LAT analysis methods\n* `bayes`: Bayesian tools for dealing with posterior distributions\n* `grmhd`: tools for dealing with GRMHD numerical simulations\n\nVery basic [documentation](http://rsnemmen.github.io/nmmn/) for the package. Generated with Sphinx.\n\n# Installation\n\nYou have a couple of options to install the module:\n\n1. Install using `pip`:\n\n```\npip install nmmn\n```\n\n\n2. Install the module on the system\u2019s python library path: \n\n```\npython setup.py install\n```\n\n3. Install the package with a symlink, so that changes to the source files will be immediately available:\n\n```\npython setup.py develop\n```\n\nThis last method is preferred to sync with changes in the repo. You may need to run the last command with `sudo`.\n\nTo upgrade the package to the latest stable version, try\n\n    pip install --upgrade nmmn\n\nif you installed with `pip`. If you installed with the `setup.py` script and the `develop` option, try\n\n    cd /path/to/nmmn\n    git pull\n\n# Usage\n\nFirst import the specific module that you need:\n\n    import nmmn.lsd\n\nThen call the method you need. For example, to remove all `nan` and `inf` elements from a `numpy` array:\n\n```python\nimport numpy\n\n# generates some array with nan and inf\nx=numpy.array([1,2,numpy.nan,numpy.inf])\n\n# removes strange elements\nxok=nmmn.lsd.delweird(x)\n```\n\nFor more examples, please refer to the [examples doc](examples.md).\n\n# TODO\n\n* [x] need more examples of how to use the modules\n* [ ] add IFU data cubes method\n\n# License\n\nSee `LICENSE` file.\n\nIf you have suggestions of improvements, by all means please contribute with a pull request!  :)\n\nThe MIT License (MIT). Copyright (c) 2018 [Rodrigo Nemmen](http://rodrigonemmen.com)\n\n[Visit the author's web page](http://rodrigonemmen.com/) and/or follow him on twitter ([@nemmen](https://twitter.com/nemmen)).\n\n",
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