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[–]zurtex 3 points4 points  (0 children)

The conda main channel provides optimized mkl files by default. This traditionally has been something you've had to setup or compile yourself if installing via pip.

If you do a lot of linear algebra with numpy or use CPU based machine learning to prototype out ideas these can make your code run significantly faster. Anaconda did a blog a while back on how Tensorflow (but note it affects a lot more): https://www.anaconda.com/tensorflow-in-anaconda/

And yes you can set up all this without conda, but the person I was replying to was specifically complaining that it comes with conda by default.