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Source channel @githubtrending · Post #14918 · Jul 6

#html#documentation#hacktoberfest#hass#hassio#home_assistant#jekyll You can set up and contribute to the Home Assistant website easily by following the developer documentation, which explains how to edit and preview the site locally using simple commands. This helps you see your changes live on your computer before sharing them. There are also tools to speed up website updates by temporarily hiding blog posts you’re not working on, making the process faster. This setup benefits you by making it straightforward to improve the site, test changes quickly, and manage content efficiently without delays. It’s designed to support smooth collaboration and faster website maintenance. https://github.com/home-assistant/home-assistant.io

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djangoproject

@djangoproject · Post #423 · 08/26/2017, 08:39 AM

http://scitools.org.uk/iris/docs/latest/userguide/index.html Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising #meteorological and #oceanographic data sets. With Iris you can: Use a single #API to work on your data, irrespective of its original format. Read and write (CF-)netCDF, GRIB, and PP files. Easily produce graphs and maps via integration with #matplotlib and #cartopy.