To specify a different version of Python, use: % conda create -n conda-env python=3.7 This environment will use the same version of Python as your current shell’s Python interpreter. From here on we’ll always use “conda-env” for the name of our environments. 💥 Important: Replace “conda-env” with the name of your environment. To create an environment with conda for Python development, run: % conda create -name conda-env python # Or use -n Using Conda Environments Creating Environments To use a custom environment inside a job you must load the module and activate the environment inside your job submission script.Morning Mist by Thomas Cole. If you created your conda environment at a custom location using -prefix option, then you can activate or deactivate it using the full path.

To activate or deactivate an environment you have created: $ source activate MyEnvName Installing packages when creating your environment, instead of one at a time, will help you avoid dependency issues. To remove a package from an environment: $ conda remove -name MyEnvName PackageName To add packages to your environment: $ conda install -name MyEnvName PackageNames To remove unwanted environments: $ conda remove -name MyEnvName -all To see a list of your environments: $ conda env list To create an environment at a custom location: $ conda create -prefix=$HOME/MyEnvName python=3.8 PackageName -y By default environments are created and stored in the $HOME/.conda directory. Including the -y option lets you skip the prompt to install the package. You can include as many packages as you require separated by a space. The -name option specifies that the environment created will be named MyEnvName. To create your own custom environment: $ conda create -name MyEnvName python=3.8 FirstPackageName SecondPackageName -y Many packages are pre-installed in the global environment. To use Conda you must load an Anaconda module: $ module load anaconda Conda is a package manager in Anaconda that allows you to create and manage multiple environments where you can pick and choose which packages you want to use.

Conda environment