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Python has native Conda Environment support, hence from within a notebook using the Kernel simply calling Conda will install any package correctly to the current environment. This has the added advantage (if this is a python-based project), of capturing your package installs within a Notebook for ease of re-reproducibility for others.
Anything Else
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source activate /data/conda/<environment_name> conda install -y <package> # e.g # source activate /data/conda/myenv # conda install -y numpy |
