Polar TEP implements Jupyter Notebooks for code development and sharing, offering:
- Different computational resource profiles differentiated by GPU/CPU numbers, memory size, and storage capacity.
- A network file system for persistent code and data storage.
- Conda kernels to create, manage and install environments with specific sets of packages and dependencies.
- Headless notebook execution.
A selection of example notebooks is available which can be used directly or modified.
