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It seems the scientific bits of Python have been moving at a much faster development pace though. Do you have any insight as to why? Personally, I started usin
by smallnamespace 10y ago
It seems the scientific bits of Python have been moving at a much faster development pace though. Do you have any insight as to why?
Personally, I started using Anaconda for everything and just drop down into pip when I find a package that isn't in there already, and it's been working very well.
- synparb 10y agoYou should also check out https://conda-forge.github.io/ https://conda-forge.github.io/, which is building high quality, community curated conda packages for a lot of stuff that isn't available from the main Continuum channel.
- fijal 10y agoI'm not really commenting on the relative merits of the technology or who should use what. It's about the lack of admission that there is other stuff and other requirements
- drauh 10y agoFor scientific work, I find it worth the effort to compile from source using Intel compilers + MKL (or a compiler + math library that can optimize well for your particular hardware platform).
- wclax04 10y agoaren't all of the default conda channel packages compiled with MKL now?
- stuaxo 10y agoHm, I would consider using Anaconda if it worked for Gtk libraries (GEGL etc) on all 3 platforms (yeah I know this is hard outside Anaconda too).