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Difference between revisions of "Jupyter Notebook with EC3"
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This guide is for researchers who want to use [http://jupyter.org/ Jupyter] to create and share documents that contain live code, equations, visualizations and explanatory text, in the cloud-based resources provided by [https://wiki.egi.eu/wiki/Long-tail_of_science EGI]. | This guide is for researchers who want to use [http://jupyter.org/ Jupyter] to create and share documents that contain live code, equations, visualizations and explanatory text, in the cloud-based resources provided by [https://wiki.egi.eu/wiki/Long-tail_of_science EGI]. | ||
This how-to has been tested in the [https://access.egi.eu/ EGI | This how-to has been tested in the [https://access.egi.eu/ EGI Science Applications on-demand] and in the EGI Training Infrastructures. The only pre-requisite to use the Jupyter Notebook is to be a member/get access to one of these infrastructures. | ||
The only pre-requisite to use the | |||
== Objectives == | == Objectives == | ||
Revision as of 11:20, 30 March 2017
| Overview | For users | For resource providers | Infrastructure status | Site-specific configuration | Architecture |
Jupyter Notebook with EC3
Introduction
This guide is for researchers who want to use Jupyter to create and share documents that contain live code, equations, visualizations and explanatory text, in the cloud-based resources provided by EGI.
This how-to has been tested in the EGI Science Applications on-demand and in the EGI Training Infrastructures. The only pre-requisite to use the Jupyter Notebook is to be a member/get access to one of these infrastructures.
Objectives
In this guide we will show how to:
- Deploy and configure an elastic cluster with Jupyter Notebook (v4.1.1) on top of the EGI FedCloud Infrastructure
- Start the notebook
- Run some statistical analysis with R