The API mostly mirrors that of the conda packĬommandline.Using cached pysam-0.20.0.tar.gz (4.0 MB)ĮRROR: Command errored out with exit status 1:Ĭommand: 'e:\python 3.8.10\python.exe' -c 'import io, os, sys, setuptools, tokenize sys.argv = '"'"'C:\\Users\\94414\\AppData\\Local\\Temp\\pip-install-81e40wk2\\pysam_889a7059fa134daea6b32885d76b2814\\setup.py'"'"' _file # Deactivate the environment to remove it from your path (my_env ) $ source my_env/bin/deactivateĬonda-pack also provides a Python API, the full documentation of which canīe found here. # At this point the environment is exactly as if you installed it here # using conda directly. # Note that this command can also be run without activating the environment # as long as some version of python is already installed on the machine. # Cleanup prefixes from in the active environment. # Run python from in the environment (my_env ) $ python Most python # libraries will work fine, but things that require prefix cleanups # will fail. # Use python without activating or fixing the prefixes. # Unpack environment into directory `my_env`
It’s recommended to install in your root conda environment - the conda packĬommand will then be available in all sub-environments as well. It has been tested on a live cluster, but differentĬluster configurations may produce different results. Way to do this is to specify your environment as a environment.yml,Īnd recreate the environment when needed.īETA: Packaging a conda environment as a standard Cloudera parcel. One way to doĪrchiving an environment in a functioning state. Packaging a conda environment for deployment on Apache YARN.
Packaging a conda environment for use with Apache Spark when deploying on Bundling an application with its environment for deployment
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