Difference between revisions of "Jupyter Notebooks for Science"
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+ | == SWAN == |
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− | == Jupyter Notebooks for Science == |
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+ | SWAN (Service for Web based ANalysis): [[http://swan.web.cern.ch/]] is a platform to perform interactive data analysis in the cloud. |
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+ | If you have a CERN account, please send an email to swan-admins@cern.ch [[mailto: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. |
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+ | Once you have your accounts please log in first in CERNBox: [[https://cernbox.cern.ch/]] (still necessary) and then in SWAN: [[http://swan.cern.ch/]]. |
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+ | == Notebooks == |
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+ | * Nice ROOT-based examples in SWAN (showcasing the Run on SWAN bu: [[https://github.com/cernphsft/rootbinder/]] |
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+ | * (Very) Simple example using Python libraries (Pandas, Matplotlib) (Opens directly in Swan): [[https://cern.ch/swanserver/cgi-bin/go?projurl=https://raw.githubusercontent.com/dpiparo/swanExamples/master/notebooks/pandas.ipynb]] |
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+ | * SWAN and Apache Spark: |
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+ | ** Basic execution in a Spark cluster (Opens in Swan): [[https://cern.ch/swanserver/cgi-bin/go?projurl=https://raw.githubusercontent.com/dpiparo/swanExamples/master/notebooks/Spark_Simple.ipynb]] |
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+ | ** More Spark Examples: [[http://swan.web.cern.ch/content/apache-spark]] |
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+ | * Machine Learning examples: [[http://swan.web.cern.ch/content/machine-learning]] |
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+ | == Material == |
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+ | * Slides from the Talk on Monday: [[https://cernbox.cern.ch/index.php/s/cpqdIOaNIwrlzJu]] |
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+ | * 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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+ | * Markdown on the Jupyter Notebooks Documentation: [[http://jupyter-notebook.readthedocs.io/en/latest/examples/Notebook/Working%20With%20Markdown%20Cells.html]]. |
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+ | * Tutorials on ROOT's reference guide (the ones that have a "run in swan" button): [[https://root.cern.ch/doc/master/group__Tutorials.html]] |
Latest revision as of 14:54, 30 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-admins@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]].
- Tutorials on ROOT's reference guide (the ones that have a "run in swan" button): [[13]]