12/20/2023 0 Comments Creating conda environmentIn this example the current working directory is builds in the home directory of a user k1234567. To install conda-pack, make sure you are in the root or baseĮnvironment so that it is available in sub-environments.Using a conda environment in a slurm job scriptĬreating a new conda packages cache locationĬreated virtual environment CPython3.8.10.final.0-64 in 4045msĬreator CPython3Posix ( dest =/users/k1234567/builds/tutorial, clear =False, no_vcs_ignore =False, global =False ) seeder FromAppData ( download =False, pip =bundle, setuptools =bundle, wheel =bundle, via =copy, app_data_dir =/users/k1234567/.local/share/virtualenv ) added seed packages: pip = 21.3.1, setuptools = 60.5.0, wheel = 0.37.1Īctivators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator Specific and that the target computer must have the same platform and Keep in mind that conda-pack is both platform and operating system Packages from their respective repositories to create an environment. This is useful when you want to reproduce an environment Which includes all the binaries of the packages installed in theĮnvironment. so in case you dont have access to internet, then you can use conda pack.Ĭonda-pack is a command line tool that archives a conda environment, All other previous methods require internet connection. If you plan on getting an exact copy of your current environment and then move it to another machine with the same platform and OS, without redownloading all packages again from Internet (good for offline machines/behind firewalls). # as long as some version of Python is already installed on the machine. # Note that this command can also be run without activating the environment # Cleanup prefixes from in the active environment. # libraries will work fine, but things that require prefix cleanups # Use Python without activating or fixing the prefixes. # Pack environment located at an explicit path into my_Īnd to restore it on the other machine(s): # Unpack environment into directory `my_env` Conda-forge: conda install -c conda-forge conda-packīacking up: # Pack environment my_env into my_
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