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        "description": "Spot-On (cli)\n-------\n\nThis repository collects a series of scripts to analyze data from single particle tracking experiments. The code was initially written by Anders Sejr Hansen and translated to Python by Maxime Woringer. A [Matlab version](https://gitlab.com/tjian-darzacq-lab/spot-on-matlab) exists and is maintained by Anders Sejr Hansen.\n\nThis repository only includes the commandline analysis pipeline. A graphical user interface (GUI) is available for a more user-friendly analysis, but is not included in this repository. This repository contains the command-line version, that can be used independently from the GUI.\n\nAlthough the functions and methods can be called directly, we provide a walk-through tutorial as a [Jupyter](http://jupyter.org) notebook. \n\n# Dependencies\n\n- numpy\n- scipy\n- lmfit\n\nOptional: jupyter\n\nYour package manager may provide precompiled versions of `numpy` and `scipy`. In that case, it might be worth using those libraries, because compilation can take a significant amount of time.\n\n# Installation (from pip)\n\n`pip install fastspt`\n\n# Installation (from this Gitlab) repository\n\n## Install dependencies\n`pip install -r requirements.txt`\n\nAlternatively, you can install the dependencies manually by typing:\n`pip install numpy scipy lmfit`\n\nOptional : `pip install jupyter`\n\n## Install fastSPT\n\nSimply run (as root): `python setup.py install`\n\nCheck that it worked: `python -c \"import fastspt\"`\n\n\n# Tutorial\nA short tutorial, demonstrating the capabilities of the software, is available as a Jupyter notebook. \n\nSee `fastSPT_tutorial.ipynb`. The tutorial is also available online: **address of the page**\n\n**Document here how to open a Jupyter notebook**\n\n# Usage\n## Main functions\n\n## Extra functions\nThe `writers` submodule contains some useful functions:\n\n- `mat_to_csv(in_path, out_path)` converts a .mat file to a CSV. It can easily be scripted.\n\n## Input file format\n## Caveats\n\n# References\n\n# License\nThis program is released under the GNU General Public License version 3 or upper (GPLv3+).\n\n\n    This program is free software: you can redistribute it and/or modify\n    it under the terms of the GNU General Public License as published by\n    the Free Software Foundation, either version 3 of the License, or\n    (at your option) any later version.\n\n    This program is distributed in the hope that it will be useful,\n    but WITHOUT ANY WARRANTY; without even the implied warranty of\n    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n    GNU General Public License for more details.\n\n    You should have received a copy of the GNU General Public License\n    along with this program.  If not, see <http://www.gnu.org/licenses/>.\n\n# Deploying (developer only)\n```\npython setup.py sdist\ngpg --detach-sign -a dist/fastspt-11.4.tar.gz\ntwine upload dist/fastspt-11.4.tar.gz dist/fastspt-11.4.tar.gz.asc\n```\n# Authors\nMaxime Woringer, Anders Sejr Hansen\n\n# Bugs/suggestions\nSend to bugtracker or to email.",
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