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Anaconda Python distribution uses NumPy (and related packages) compiled against Intel-MKL lib, not "standard" NumPy. How can I use Anaconda with "standard" NumPy on a specific conda env? Using another Python distribution unfortunately is not an option at the moment. If relevant: I'm using Windows and Python 3.6.
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The biggest reason is the Anaconda ships out packages compiled in an optimized way. In particular, numpy on conda is built using MKL – Intel's optimized LINPACK.
NumPy doesn't depend on any other Python packages, however, it does depend on an accelerated linear algebra library - typically Intel MKL or OpenBLAS. Users don't have to worry about installing those (they're automatically included in all NumPy install methods).
If you installed the Anaconda distribution of Python, NumPy comes pre-installed and no further installation steps are necessary. If you use a version of Python from python.org or a version of Python that came with your operating system, the Anaconda Prompt and conda or pip can be used to install NumPy.
There is a nomkl "meta-package" that installs packages without the MKL dependence. Simply install that package when you create the environment.
$ conda create -n nomkl python=3 numpy nomkl
Fetching package metadata .................
Solving package specifications: .
Package plan for installation in environment /Users/user/miniconda3/envs/nomkl:
The following NEW packages will be INSTALLED:
ca-certificates: 2017.08.26-ha1e5d58_0
certifi: 2017.11.5-py36ha569be9_0
libcxx: 4.0.1-h579ed51_0
libcxxabi: 4.0.1-hebd6815_0
libedit: 3.1-hb4e282d_0
libffi: 3.2.1-h475c297_4
libgfortran: 3.0.1-h93005f0_2
libopenblas: 0.2.20-h6c53463_3
ncurses: 6.0-hd04f020_2
nomkl: 1.0-0
numpy: 1.13.3-py36_nomklh439e68b_0 [nomkl]
openssl: 1.0.2n-hdbc3d79_0
pip: 9.0.1-py36h1555ced_4
python: 3.6.3-h47c878a_7
readline: 7.0-hc1231fa_4
setuptools: 36.5.0-py36h2134326_0
sqlite: 3.20.1-h7e4c145_2
tk: 8.6.7-h35a86e2_3
wheel: 0.30.0-py36h5eb2c71_1
xz: 5.2.3-h0278029_2
zlib: 1.2.11-hf3cbc9b_2
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