Install package in anaconda prompt5/11/2023 Follow the prompts to complete the Conda install.To save space, also use the -prefix=/work// flag to build in your work directory. Tip: to see a list of all of your conda environments, type conda info -e. To create your environment, type conda create -n python=3.7 anaconda, where is the name you want to give your environment.To load anaconda, type module load anaconda3/2022.01.To check what version of Python you have installed, type which python.In the above example, we request for 1 node with 1 cpu core, but you can request for additional resources as per your requirements. If you are on a login node, move to a compute node by typing srun -partition=short -nodes=1 -cpus-per-task=1 -pty /bin/bash.This procedure uses the Anaconda module already loaded on Discovery. You can also have more than one environment with different packages for testing purposes. Using a locally installed Conda virtual environment is highly recommended so that you can install the specific packages that you need. Northeastern University Research ComputingĬreating a Conda virtual environment with Anaconda ¶ Message Passing Interface (MPI) Overview.Creating a Conda virtual environment with Anaconda.To read more about installing and managing environments with Anaconda, please see the conda documentation. Once you're done installing and using your Anaconda packages, you may return to the default environment by typing: 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 prefer to create the environement in a specific directory, you may use the following command. By default (i.e., if you don't specify a directory using the "-prefix" argument in the above command), custom environments will be placed at This will create a custom environment entitled "my_env". This can be accomplished using the following command: 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. First load the appropriate module (either Anaconda2 or Anaconda3, depending on which version of Python is desired): 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. 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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