Jupyter-Cloud
The Jupyter-Cloud can be reached here and is provided by GWDG.
Short Facts
- Service URL
- Target group
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Users having a full GWDG account (which can include people working in partner projects)
- Login process
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Login via Shibboleth (AcademicID - academiccloud.de)
- Support
- Documentation
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https://docs.gwdg.de/doku.php?id=en:services:application_services:jupyter:start
Features
Jupyter-Cloud offers:
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Version(s): JupyterLab 3.5 (via JupyterHub)
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Temporarly install new packages by the user
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Persistent storage
Programming Languages:
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Python
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Julia
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R
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Bash
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git
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plotly
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matplotlib
Resources
Jupyter-Cloud provides Jupyter servers within the following resource limits:
| Resource | Default | Maximum |
|---|---|---|
| Number of Jupyter servers per user | 1 | 1 |
| Number of CPUs | 1 | 4 |
| CPU time | 24 h | 24 h |
| Amount of memory | 15 GB | 15 GB |
| Number of GPUs | 0 | 0 |
| Disk space | 10 GB | 10 GB |
| Persistent disk space | 10 GB | 10 GB |
Technicals
Some technical insights about Jupyter-Cloud:
- Deployment: Based on Jupyter Datascience Notebook image, extended with user-requested data science tools