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Source channel @githubtrending · Post #15420 · Jan 18

#shell Try is a simple Ruby tool that organizes your coding experiments in one folder like ~/src/tries, using fuzzy search to quickly find or create dated directories (e.g., 2025-01-18-redis-test). Install via `gem install try-cli` or curl the single file, then add `eval "$(try init)"` to your shell—no setup needed. It ranks recent projects highest with smart matching, so you avoid scattered "test" folders and lost /tmp work. This saves time jumping between ideas, keeping your chaotic projects instantly accessible and productive. https://github.com/tobi/try

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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.