@darius @aparrish @dphiffer Depends on the thing. For a lot of geo stuff like GDAL, PostGIS, and friends there are now great pre-compiled Mac OS packages and executables. Python 3 and Docker you can just download. Data science stuff mostly builds clean with pip. That’s like 80% of my needs right there, the other 20% I now handle with Docker. Homebrew is just not worth the sustained sadness.
@darius @migurski @dphiffer i have long since resigned myself to setting aside an afternoon whenever i want to install some software, no matter how trivial the software, just in case; and to the knowledge that any given piece of software will stop working five minutes after i install it, if i so much as exhale or look at it funny
I think QGIS.org now offers the same download with a less chaotic-sounding source, and building the GDAL Python bindings against it has been consistently easy for me: https://github.com/PlanScore/PlanScore#gdal
Meanwhile uptown: https://twitter.com/michalmigurski/status/1083127133440860160
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