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        "description": "![GitHub release](https://img.shields.io/github/release/ECSHackWeek/impedance.py) ![PyPI - Downloads](https://img.shields.io/pypi/dm/impedance?style=flat-square)\n\n[![Build Status](https://travis-ci.org/ECSHackWeek/impedance.py.svg?branch=master&kill_cache=1)](https://travis-ci.org/ECSHackWeek/impedance.py) [![Documentation Status](https://readthedocs.org/projects/impedancepy/badge/?version=latest&kill_cache=1)](https://impedancepy.readthedocs.io/en/latest/?badge=latest)\n\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/cd7e6ee6f638458bb1bc9e1cab025409)](https://www.codacy.com/app/mdmurbach/impedance.py?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=ECSHackWeek/impedance.py&amp;utm_campaign=Badge_Grade) [![Coverage Status](https://coveralls.io/repos/github/ECSHackWeek/impedance.py/badge.svg?branch=master&kill_cache=1)](https://coveralls.io/github/ECSHackWeek/impedance.py?branch=master)\n\nimpedance.py\n------------\n\n`impedance.py` is a Python module for working with impedance data.\n\nThis project started at the [2018 Electrochemical Society (ECS) Hack Week in Seattle](https://www.electrochem.org/233/hack-week) and has grown from there.\n\nUsing a [scikit-learn-like API](https://arxiv.org/abs/1309.0238), we hope to make visualizing, fitting, and analyzing impedance spectra more intuitive and reproducible.\n\n<i>impedance.py is currently in a beta phase and new features are rapidly being added.</i>\nIf you have a feature request or find a bug, please feel free to [file an issue](https://github.com/ECSHackWeek/impedance.py/issues) or, better yet, make the code improvements and [submit a pull request](https://help.github.com/articles/creating-a-pull-request-from-a-fork/)! The goal is to build an open-source tool that the entire impedance community can improve and use!\n\nimpedance.py currently provides:\n-   a simple API for fitting, predicting, and plotting impedance\n-   validation methods for checking measurement validity\n-   equivalent circuit fitting with customizable models\n-   convenient Nyquist plots including confidence interval estimation for fit circuits\n\nseveral features are currently being improved upon:\n-   interactive plotting with altair\n-   physics-based impedance models for lithium-ion batteries\n\n### Installation\n#### Dependencies\n\nimpedance.py requires:\n\n-   Python (>=3.5)\n-   SciPy (>=1.0)\n-   NumPy (>=1.14)\n-   Matplotlib (>=3.0)\n\nSeveral example notebooks are provided in the examples/ directory. Opening these will require Jupyter notebook or Jupyter lab.\n\n#### User Installation\n\nThe easiest way to install impedance.py is from [PyPI](https://pypi.org/project/impedance/) using pip (see [Getting started with impedance.py](https://impedancepy.readthedocs.io/en/latest/getting-started.html) for instructions).\n\n#### Examples and Documentation\n\nSeveral examples can be found in the `examples/` directory (the [fitting_tutorial.ipynb](https://github.com/ECSHackWeek/impedance.py/blob/master/docs/source/examples/fitting_example.ipynb) is a great place to start) and the documentation can be found at [impedancepy.readthedocs.io](https://impedancepy.readthedocs.io/en/latest/).\n\n\n",
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