![]() ![]() To read more about installing and managing environments with Anaconda, please see the conda documentation. Run the command by itself to remove all Anaconda-related files and directories with a confirmation prompt before deleting each one, or use the -yes argument to remove all those files and directories without being asked to confirm each one. Once you're done installing and using your Anaconda packages, you may return to the default environment by typing: In Mac or Linux, open your terminal application. Likewise, the directory system for any libraries installed with conda can be found at: For example, if you would like to install the "scipy" package, type the following:Īfter the package has been installed, any associated executable files will be placed within a bin folder in your environment directory (this is automatically added to your path): Once you've created a custom environment, you need to "activate" it with the following:īy doing this, the environmental variables associated with your custom Anaconda environment (including the path to executable files) will become active.įrom here, you may install packages using the "conda install" command. ![]() If you wish to save in another directory:Ĭonda create -prefix /path-to-env/env-name Note: You can't combine the -prefix and -name flags, you may only choose one. In order to ensure that there is no conflict between the software you'd like to install and existing programs (e.g., dependency version conflicts), it's best to create a custom Anaconda environment. I have to do this routinely, since so many packages dont have conda packages, not even in the most common alternate channel (s) like conda-forge or bio-conda. First load the appropriate module (either Anaconda2 or Anaconda3, depending on which version of Python is desired): Many Python packages dont have pre-built conda packages, so Anaconda users are frequently forced to use pip to install packages. ![]() The easiest way to install many software packages is by using the Anaconda package manager. Alternatively, you may install the program locally in your home or project directory. Open the Anaconda Prompt and use the conda install command with the package name. This may be preferable if the program is widely used and likely to be of interest to multiple users.Ģ. You are welcome to submit a ticket and ask the HPC support staff to install the software package. When HPC users have need of software that is not currently installed on SeaWulf, there are two basic approaches that can be taken to get the programs installed:ġ. ![]()
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