If runĪs Administrator (on Windows) or UID 0 (on unix), See conda search -h: -envs Search all of the current user's environments. Script, activate the environment that contains the software you need,Įxecute the the scientific code and deactivate the environment.Since Conda v 4.5.0, the conda search command has had an -envs flag for searching local environments for installed packages. To execute software in a non-interactive job you need to source the main Using a conda environment in a submission script ¶ Libstdcxx-ng 7.2.0 hdf63c60_3 conda-forge # packages in environment at /scratch/gufranco/bowtie2:Ĭa-certificates 2018.8.24 ha4d7672_0 conda-forge You want one env for bowtie2 (bowtie2.yml) The YML file will look like this, for a simple case when YML file that describes the channels and packages that you want on yourĮnvironment. You can create your own environment, one easy way of doing that is via a Intel-openmp-2019.5 | 888 KB | # | 100%Ĭreating a new environment from a YML file ¶ The following NEW packages will be INSTALLED: The following packages will be downloaded: $ conda install -c intel mkl=2019.4=intel_243Ĭollecting package metadata (current_repodata.json): doneĮnvironment location: /users/gufranco/.conda/envs/test Activating Conda on Spruce and Thorny Flat ¶ Miniconda is more suited for HPC environments where a minimal installation is all that is needed and users can create their own environments as needed. Miniconda is a small, bootstrap version of Anaconda that includes only conda, Python, the packages they depend on and a small number of other useful packages, including pip, zlib and a few others. Anaconda vs Minicoda ¶Īnaconda is a downloadable, free, open source, high-performance and optimized Python and R distribution.Īnaconda includes conda, conda-build, Python, and 100+ automatically installed, open source scientific packages and their dependencies that have been tested to work well together, including SciPy, NumPy and many others.Īnanconda is more suited to be installed on a desktop environment as you get after installation a fairly complete environment for scientific computing.įrom the other side Miniconda is free minimal installer for conda. There are two installers for conda, Anaconda and Miniconda. 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 is an open source package management system and environment management system.Ĭonda quickly installs, runs and updates packages and their dependencies.Ĭonda easily creates, saves, loads and switches between environments.
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