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README.md

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pyfolio is a Python library for performance and risk analysis of
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financial portfolios developed by
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[Quantopian Inc](https://www.quantopian.com). It works well with the
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[Zipline](http://zipline.io) open source backtesting library.
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[Zipline](https://www.zipline.io/) open source backtesting library.
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At the core of pyfolio is a so-called tear sheet that consists of
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various individual plots that provide a comprehensive image of the
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![simple tear 1](https://github.com/quantopian/pyfolio/raw/master/docs/simple_tear_1.png "Example tear sheet created from a Zipline algo")
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Also see [slides of a talk about
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pyfolio](http://nbviewer.jupyter.org/format/slides/github/quantopian/pyfolio/blob/master/pyfolio/examples/pyfolio_talk_slides.ipynb#/).
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pyfolio](https://nbviewer.jupyter.org/format/slides/github/quantopian/pyfolio/blob/master/pyfolio/examples/pyfolio_talk_slides.ipynb#/).
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## Installation
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#### Development
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For development, you may want to use a [virtual environment](http://docs.python-guide.org/en/latest/dev/virtualenvs/) to avoid dependency conflicts between pyfolio and other Python projects you have. To get set up with a virtual env, run:
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For development, you may want to use a [virtual environment](https://docs.python-guide.org/en/latest/dev/virtualenvs/) to avoid dependency conflicts between pyfolio and other Python projects you have. To get set up with a virtual env, run:
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```bash
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mkvirtualenv pyfolio
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```
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## Usage
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A good way to get started is to run the pyfolio examples in
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a [Jupyter notebook](http://jupyter.org/). To do this, you first want to
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a [Jupyter notebook](https://jupyter.org/). To do this, you first want to
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start a Jupyter notebook server:
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```bash

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