Create a conda environment and install packagesįollow the steps below to create a conda environment. For information on how to create a Slate account, see About Slate high performance storage for research computation at IU. In order to avoid exceeding your home directory disk quota, Research Technologies recommends you use the -p option to build your environments in your Slate directory, rather than your home directory tree. Named environments (those created with the -n option) are placed in a subdirectory of the. As a result, conda environments take up a large amount of disk space.

Since Research Technologies installs many commonly used Python packages in the python and deeplearning modules, including numpy, pandas, tensorflow, pytorch, jupyter, and many others, check the Python and deeplearning modules before you install a Python package.Ĭonda installs virtually all dependencies, even system libraries that are a part of Research Technologies operating system installations. However, UITS Research Technologies installs and maintains many software packages on IU's research supercomputers, which users can access with module commands. Package managers can be helpful because they allow users to install packages and their dependencies locally with just one command.

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