Jupy­ter

The Jupyter service is a centrally hosted, browser-based platform for interactive programming, data analysis and scientific work. The Center for Information and Media Technologies (ZIM) provides a specially adapted JupyterHub for this purpose, which enables uncomplicated access to various JupyterLab environments.

Platform Link:

Which JupyterLab environments are provided?

  1. Basic Python Environment: Minimalist environment for basic Python development.
  2. Scientific Python Environment: Scientific environment with popular packages from the Python ecosystem.
  3. TensorFlow environment: Specialized tools for machine learning with TensorFlow and deep learning packages.
  4. Pytorch environment: Specialized machine learning tools with Pytorch and deep learning packages.
  5. Julia environment: Designed for development with Julia, including popular packages and Julia kernel.
  6. R environment: Support for R, including popular packages and R kernel.
  7. Datascience environment: Designed for data science, with popular scientific Python packages.
  8. UPB_all environment: Combination of all the above environments in a single JupyterLab environment.

What are the access requirements?

  1. Authentication takes place via the central university account after prior service activation in the service portal.
  2. The service is used via a browser, so no further installation or configuration is required.

Special adaptations for teaching:

The JupyterHub has been expanded to include the Grader service especially for teaching:

Advantages for teachers

  • Automated assessment of programming tasks
  • Course management system for the administration of:
          - Participants
          - assignments
          - submissions
          - assessments

Advantages for students

  • Direct feedback on programming tasks
  • Uniform working environment for all course participants
  • Automatic code review
  • Clear progress indicator

Where can I get support and help?

For questions or technical problems: