> For the complete documentation index, see [llms.txt](https://brightwind.gitbook.io/brighthub-user-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://brightwind.gitbook.io/brighthub-user-docs/brighthub-python-user-guide.md).

# BrightHub Python User Guide

BrightHub is designed to work natively with the open source [BrightWind library](https://github.com/brightwind-dev/brightwind) that is freely available on GitHub. 

The BrightWind library allows you to use cutting edge wind data analysis tools with your data stored on BrightHub in order to create automated repeatable workflows to clean, analyse, synthesise, long term and ultimately create a time series or frequency distribution dataset for wind flow and wake energy modelling. 

First you will need to download and install the BrightWind library and set your environment variables.


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