1/17/2024 0 Comments Conda env listIt is a good idea to check that your package has been installed using pip freezeĮxplicitly list packages in an environment file As a result the packages will not be installed into your environment. If you do not have pip inside your conda environment, invoking pip defaults to the global pip module. The ‘-I’ flag ignores an existing installation, if you need to remove that version and install the one from the ‘requirements.txt’ file you have to manually delete the package from the current conda environment. The following code illustrates installation from a file. If you need to install from a pip ‘requirements.txt’ file, first create an empty conda environment, install pip inside it and then proceed to install the packages using pip inside it. Where REVNUM is the revision number obtained from listing the revisions Installation from Pip ‘requirements.txt’ file To revert back to a previous version use: conda install -revision=REVNUM To list the changes that you have made to your environment conda list -revisions This has to be done from outside the environment after the environment has been deactivated. To update a conda environment named ‘test’ from a file ‘requirements.txt’: conda env update -n test -f requirements.txt To create a named environment ‘pytorch’ from a file ‘requirements.txt’: conda env create -f requirements.txt -n pytorch You can do this by modifying the file and adding the pip modules as shown: name: rq_env This allows you to install modules that were installed with pip as well. To export only the modules that were requested: conda env export -from-history > test.yml To export a specific environment, in this case just the base environment (usually called ‘base’): conda env export -n base > requirements.txt To export a conda environment from within the environment to a file ‘test.yml’: conda env export > test.yml List all conda environments: conda env list To remove an environment named ‘envname’: conda env remove -n envname To create an environment from the base environment: conda create -name myenv -clone base To create a named environment from a file ‘test.yml’: conda env create -f test.yml -n pytorch The environment name comes from the line ‘name: tag’ inside the ‘test.yml’ file. To create an environment from a file ‘test.yml’: conda env create -f test.yml To create a conda environment named ‘myenv’: conda create -name myenv yaml conda create - n ENV_NAME - file ENV_NAME. yaml Importing an environment mamba env create - file ENV_NAME. yamlĬonda env export - n ENV_NAME - no - builds | grep - v "prefix" > ENV_NAME. txtĬonda env export - n ENV_NAME | findstr - v "prefix" > ENV_NAME. 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.
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