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hi guys,
would know how to get jupyterhub?
$ conda install jupyterhub ... The following packages will be SUPERSEDED by a higher-priority channel: python intel::python-3.6.8-7 --> pkgs/main::python-3.6.8-h0371630_0 Proceed (/n)?
many thanks, L.
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I think it might have something to do with conda got updated to conda-4.7.11 and then kind of hell broke loose. I wanted to do:
$ conda update --all Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: /opt/intel/intelpython3 The following packages will be REMOVED: conda-env-2.6.0-1 cycler-0.10.0-py36_7 cython-0.29.6-py36h7b7c402_0 daal-2019.4-intel_243 daal4py-2019.4-py36h7b7c402_6 freetype-2.9-3 funcsigs-1.0.2-py36_7 icc_rt-2019.4-intel_243 impi_rt-2019.4-intel_243 intel-openmp-2019.4-intel_243 ipp-2019.4-intel_243 kiwisolver-1.0.1-py36_2 libpng-1.6.36-2 llvmlite-0.27.1-py36_0 matplotlib-3.0.3-py36_4 mkl-2019.4-intel_243 mkl-service-1.0.0-py36h7b7c402_11 mkl_fft-1.0.13-py36h7b7c402_1 mkl_random-1.0.4-py36h7b7c402_1 mpi4py-3.0.0-py36_3 numba-0.42.1-np116py36_2 numexpr-2.6.8-py36_2 numpy-1.16.2-py36h7b7c402_0 numpy-base-1.16.2-py36_0 pandas-0.24.1-py36_3 pyeditline-2.0.0-py36_0 pyparsing-2.2.0-py36_2 python-dateutil-2.6.0-py36_12 pytz-2018.4-py36_3 pyyaml-4.1-py36_3 scikit-learn-0.20.3-py36h7b7c402_5 scipy-1.2.1-py36h7b7c402_3 smp-0.1.4-py36_0 tbb-2019.6-intel_243 tbb4py-2019.6-py36_intel_0 xgboost-0.81-py36_0
I'm very new to both intel & conda and hope some experts could shed more light.
thanks, L.
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I believe you need to keep specifying your channel preferences in all your conda commands. So try:
conda install -c intel jupyterhub
and
conda upate -c intel --all
In fact, I tend to use something like:
conda COMMAND --override-channels --strict-channel-priority -c intel -c ...
in order to reduce depsolving time.
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