Difference between revisions of "Jupyter Notebooks for Science"
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== Material == |
== Material == |
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| − | * Slides from the Talk on Monday: |
+ | * Slides from the Talk on Monday: [[https://cernbox.cern.ch/index.php/s/cpqdIOaNIwrlzJu]] |
* SWAN Gallery: [[http://swan.web.cern.ch/content/notebook-gallery]]. 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 ;)). |
* SWAN Gallery: [[http://swan.web.cern.ch/content/notebook-gallery]]. 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 ;)). |
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Revision as of 23:12, 29 August 2016
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:
- Machine Learning examples: [[9]]
Material
- Slides from the Talk on Monday: [[10]]
- SWAN Gallery: [[11]]. 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: [[12]].
