The following versions of Anaconda are the suggested versions available to be loaded as modules on the Engaging Cluster: With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda is also an environment manager. It was created for Python programs but it can package and distribute software for any language.Ĭonda as a package manager helps you find and install packages. Conda easily creates, saves, loads, and switches between environments on your local computer. Conda quickly installs, runs, and updates packages and their dependencies. condarc for the miniconda module.Conda is an open-source package management system and environment management system. If you would like to override these defaults, see the Conda docs on managing channels. Starting with minconda module version 4.8.3 we set the default channels (the sources to find packages) to conda-forge and bioconda, which provide a wider array of packages than the default channels do. Conda will install to and search in these directories for environments and cached packages. On all clusters, we set the CONDA_ENVS_PATH and CONDA_PKGS_DIRS environment variables to conda_envs and conda_pkgs in your project directory where there is more quota available. Note: If you are on Milgram and run out of space in your home directory for Conda, you can either reinstall your environment in your project space (see below) or contact us for help with your home quota. If you are using Conda-installed packages, this should be the only module you load in your jobs. We set some defaults for you in this module, and we keep it relatively up-to-date so you don't have to. This is a read-only environment from which you can create your own. The Miniconda Moduleįor your convenience, we provide a relatively recent version of Miniconda as a module. If you get stuck, you can always ask us for help. When constructing an environment for your work you should load either modules or a conda environment. Mixing modules and conda-managed software is almost never a good idea. Conda version doesn't match the module loaded
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