Jupyter Notebooks for Science

Jupyter Notebooks for Science

SWAN (Service for Web based ANalysis): [[1]] is a platform to perform interactive data analysis in the cloud.

If you have a CERN account, please send an email to swan-admin@cern.ch and you'll be given permission to access SWAN. If not, login credentials will be offered for trying to a limited amount of users.

Once you have your accounts please log in first in CERNBox: [[2]] (still necessary) and then in SWAN: [[3]].

Notebooks

• Nice ROOT-based examples in SWAN (showcasing the Run on SWAN bu: [[4]]

• (Very) Simple example using Python libraries (Pandas, Matplotlib) (Opens directly in Swan): [[5]]

• SWAN and Apache Spark:
  • Basic execution in a Spark cluster (Opens in Swan): [[6]]
  • More Spark Examples: [[7]]

• Machine Learning examples: [[8]]

Material

• Slides from the Talk on Monday:

• SWAN Gallery: [[9]]. If you want to run them in SWAN and be able to play with them, click on the "Open in SWAN" ribbon in the examples, clicking anywhere else opens a static page with the execution on Jupyter nbviewer (Ideal for sharing ;)).

• Markdown on the Jupyter Notebooks Documentation: [[10]].