yaml conda create - n ENV_NAME - file ENV_NAME. yaml Importing an environment mamba env create - file ENV_NAME. First get the list of versions and builds for the package that you want. (base) PS C:Userssomeuser> conda activate myenv (myenv) PS C:Userssomeuser> Now when you deactivate myenv it will go back to base environment. yamlĬonda env export - n ENV_NAME - no - builds | grep - v "prefix" > ENV_NAME. Conda is an open source package management system and environment management. If you want to switch to another environment you could simply type: conda activate myenv within the base environment. txtĬonda env export - n ENV_NAME | findstr - v "prefix" > ENV_NAME.
So, question: how is conda finding environments created by a different user? Moreover, when the entire parent directory of the original instance of conda has been removed and replaced by one in an entirely different location (so no local environments.txt file could be cataloging this.Installing Mamba conda install - n base - c conda - forge mamba Adding channels conda config - add channels conda - forge Updating Mamba mamba update - n base mamba Finding a Package mamba repoquery search PACKAGE Searching for dependencies mamba repoquery depends - a PACKAGE Creating an environment mamba create - n ENV_NAME PACKAGE Adding/Updating software mamba install - n ENV_NAME PACKAGE mamba update - n ENV_NAME - all Removing a package mamba remove - n ENV_NAME PACKAGE Undoing changes to an environment mamba list - n ENV_NAME - revisions mamba install - n ENV_NAME - revision 1 Show environment conda env export - no - builds Clone an existing environment conda create - name CLONE_ENV_NAME - clone ENV_NAME Removing an environment mamba env remove - n ENV_NAME conda remove - name ENV_NAME - all Exporting an environment mamba env export - n ENV_NAME > ENV_NAME. (The conda-env list command gives the same output.) When I list the environments as the root user, I see not only the default and the one I just created, but also the ones I created previously using my user account! /]# conda info -envs condacreate () returns the path to the Python binary associated with the newly-created conda environment. I then (completely) uninstalled anaconda and installed miniconda (also version 4.5.12) and then created another environment in a non-standard location as root: # conda create -p /usr/local/miniconda/pyem condalist () returns an R ame, with name giving the name of the associated environment, and python giving the path to the Python binary associated with that environment. So, using Arch linux, first I installed anaconda (version 4.5.12), and then using my own account, created a couple of test environments: conda create -n snakes I've been experimenting with anaconda/miniconda because my users use structural biology programs installed with miniconda and none of the authors A) take into account that there might be other miniconda applications B) that their programs will be used in a multi-user environment.
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