Jupyter Notebooks for Science

SWAN

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 [[2]] 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: [[3]] (still necessary) and then in SWAN: [[4]].

Notebooks

• Nice ROOT-based examples in SWAN (showcasing the Run on SWAN bu: [[5]]

• (Very) Simple example using Python libraries (Pandas, Matplotlib) (Opens directly in Swan): [[6]]

• SWAN and Apache Spark:
  • Basic execution in a Spark cluster (Opens in Swan): [[7]]
  • More Spark Examples: [[8]]

• Machine Learning examples: [[9]]

Material

• Slides from the Talk on Monday:

• SWAN Gallery: [[10]]. 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: [[11]].