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It's also pretty straightforward to set up your own Conda package tree. Nice for packaging your app for deployment or making sure you have very precise dependen
by gh02t 11y ago
It's also pretty straightforward to set up your own Conda package tree. Nice for packaging your app for deployment or making sure you have very precise dependencies.
http://conda.pydata.org/docs/custom-channels.html http://conda.pydata.org/docs/custom-channels.html
- sandGorgon 11y agoI think deployment is a solved problem with docker. Its libraries like blas,etc that are a huge pain. I'm not sure why static linked bumpy is not possible - even anaconda could not achieve it.
- gh02t 11y agoIf you've ever tried to dive into the NumPy build process you'd see why. It's unbelievably complicated... not that they really could do it better given that they are compiling about a billion scientific libraries and support alternatives and optimizations (like MKL).
- sandGorgon 11y agoYes - unfortunately I have and I failed miserably. These days I'm trying to see if there's a docker build that can build a great numpy (with all optimizations). Interestingly there are even docker images to call cuda APIs from python.