Training resources introducing Baskerville Portal for beginners, which provides web-based access to Baskerville services and GUI applications such as JupyterLab.
Training resources for an introduction to Baskerville Portal for beginners. This covers:
- What is Baskerville Portal?
- Connect and Configure Baskerville Portal
- JupyterLab
- a. Module Loading
- b. Conda Environments
- Final Task: Build PyTorch in a Conda Environment
To take this course, you will need a registered account on Baskerville. Details for requesting access can be found here.
This course is for complete beginners, however some familiarity with the following may be beneficial:
- Bash shell
- Python
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Images of code snippets were generated using Carbon, and a configuration file, carbon-config.json, is provided.
This work is licensed under a GNU General Public License v3.0. See LICENSE.md for more information.
Email us: [email protected]
Project Link: https://github.com/baskerville-hpc/baskerville-portal
Baskerville is funded by the EPSRC and UKRI through the World Class Labs scheme (EP/T022221/1) and the Digital Research Infrastructure programme (EP/W032244/1).