Difference between revisions of "Jupyter Notebooks for Science"
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== Jupyter Notebooks for Science == |
== Jupyter Notebooks for Science == |
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| + | [[http://swan.web.cern.ch/]|SWAN (Service for Web based ANalysis)] 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-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: |
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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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Revision as of 16:38, 29 August 2016
Jupyter Notebooks for Science
[[1]|SWAN (Service for Web based ANalysis)] 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:
- 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]].
