There are no anaconda modules for Python 2 on the other clusters. On Tiger, if for some reason you are trying to install a Python 2 package then use module load anaconda/ instead of anaconda3/ in the directions above. If the installation was successful then your job can be submitted to the cluster with: $ sbatch job.slurm #SBATCH -mail-type=end # send email when job ends #SBATCH -mail-type=begin # send email when job begins #SBATCH -time=00:01:00 # total run time limit (HH:MM:SS) #SBATCH -mem-per-cpu=4G # memory per cpu-core (4G per cpu-core is default) #SBATCH -cpus-per-task=1 # cpu-cores per task (>1 if multi-threaded tasks) #SBATCH -ntasks=1 # total number of tasks across all nodes #SBATCH -job-name=py-job # create a short name for your job On the command line, use conda deactivate to leave the active environment and return to the base environment.īelow is a sample Slurm script (job.slurm): #!/bin/bash Consider replacing myenv with an environment name that is specific to your work. $ conda create -name ml-env scikit-learn pandas matplotlib -channel conda-forgeĮach package and its dependencies will be installed locally in ~/.conda. Here is a specific example: $ module load anaconda3/2021.11

Try the following procedure to install your package(s): $ module load anaconda3/2021.11 Commands preceded by the $ character are to be run on the command line. Angular brackets denote command line options that you should replace with a value specific to your work. This guide presents an overview of installing Python packages and running Python scripts on the HPC clusters. Packaging and Distributing Your Own Python Package.Isolated Python Environments with virtualenv.Office of Information Technology Senior Management.

Scientific Computing Administrators Meeting.Operations Research and Financial Engineering.Center for Statistics & Machine Learning.Fall Break Parallel Programming Workshop 2021.Hardware and Software Requirements for PICSciE Workshops.Requirements for PICSciE In-Person and Virtual Workshops.

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