Update to Anaconda 2021.11 now with conda install anaconda=2021.11, or download and install Anaconda 2021.11 Package Updates You can find the full release notes for Anaconda Individual Edition 2021.11 here. This can be performed by adding -login option to the shebang.Update: Anaconda 2022.05 is now available Since Conda needs some initialization before being used, a Sbatch script must explicitly ask to run bash in login mode. The base commands are: $ conda search $PACKAGE_NAME If you need to create an environment in a non standard location: $ conda create -prefix $MY_CONDA_ENV_PATH The basic commands for creating conda environments are: Creation $ conda create -name $MY_CONDA_ENV_NAME Activation $ conda activate $MY_CONDA_ENV_NAME Deactivation $ conda deactivate Environment in specific location Please see the full condarc documentation for all the possible configuration options You may also wish to add a non standard env_dirs envs_dirs: Where the path is the path to your project space on /work - we do not recommend installing things in /scratch as they might be automatically deleted.

condarc file in your home directory with the following options: pkgs_dirs: Due to the limited space available this is probable not what you want. Please ignore any messages about updating to a newer version of conda!īy default Conda will put everything including downloads in your home directory. Once you log in again conda should be available. You will now probably need to log out and back in again to 'activate' the changes. This command will hang on a sudo password input, just ignore it (ctrl-c) Setting up Condaįirst load the appropriate modules $ module load gcc miniconda3Īnd the first time you use it $ conda init bash This is especially true for any parallel (MPI) tools. Warning: Conda, whilst convenient, is not designed to be installed on multi-user compute clusters and we are unable to guarantee that tools installed via it will work correctly. On personal computers it is a useful way to install a stack of tools. Conda is a package manager system for Python and other tools and is widely used in some areas such as bioinformatics and data science.

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