📄️ Python Envs and Mamba
The supercomputer uses Mamba, a high-performance package manager, to allow users to install the Python packages into a self-contained Python container. It plays a pivotal role in optimizing software environments on supercomputers. In the upcoming instructions, we'll explore the process of loading Mamba modules and delve into creating and loading new environments.
📄️ Using Python Envs with Jupyter
This article describes making your mamba environment usable as a kernel in Jupyter Notebook/JupyterLab.
📄️ Python Package Installation Method Comparison
Using pip
📄️ A Brief Example
Step 1 - Search
📄️ Python Common Issues
1. Do not install packages on the login nodes or inside a Jupyter Notebook. It has to be done in a terminal/shell: