conda-forge提供了自己的mkl优化的blas库，可以通过虚拟软件包安装（另请参见：https://conda-forge.org/docs/maintainer/knowledge_base.html#switching-blas-implementation）。
environment.yaml
name: test_foo
channels:
- conda-forge
- defaults
dependencies:
- "libblas=*=*mkl"
- numpy
- scipy
conda -n test_foo列表
ca-certificates 2019.11.28 hecc5488_0 conda-forge
certifi 2019.11.28 py38_0 conda-forge
intel-openmp 2019.4 233
libblas 3.8.0 14_mkl conda-forge
libcblas 3.8.0 14_mkl conda-forge
libcxx 9.0.0 h89e68fa_1 conda-forge
libffi 3.2.1 h6de7cb9_1006 conda-forge
libgfortran 4.0.0 2 conda-forge
liblapack 3.8.0 14_mkl conda-forge
llvm-openmp 9.0.0 h40edb58_0 conda-forge
mkl 2019.4 233
ncurses 6.1 h0a44026_1002 conda-forge
numpy 1.17.3 py38hde6bac1_0 conda-forge
openssl 1.1.1d h0b31af3_0 conda-forge
pip 19.3.1 py38_0 conda-forge
python 3.8.0 hd366da7_5 conda-forge
readline 8.0 hcfe32e1_0 conda-forge
scipy 1.4.0 py38h82752d6_0 conda-forge
setuptools 42.0.2 py38_0 conda-forge
sqlite 3.30.1 h93121df_0 conda-forge
tk 8.6.10 hbbe82c9_0 conda-forge
wheel 0.33.6 py38_0 conda-forge
xz 5.2.4 h1de35cc_1001 conda-forge
zlib 1.2.11 h0b31af3_1006 conda-forge
请注意，仅安装了blas的mkl实现，而没有安装openblas。