This is a website for an H2020 project which concluded in 2019 and established the core elements of EOSC. The project's results now live further in www.eosc-portal.eu and www.egi.eu

EGI Notebooks

Open Science with Jupyter, Zenodo and Binder @ Big Data 2019 conference

Materials for the tutorial that was given at the Linnaeus University, Växjö on December 04, 2019.

The tutorial was 2x90 minutes long.

Web page and abstract about the training is available at: https://lnu.se/mot-linneuniversitetet/aktuellt/kalender/2019/open-science-with-jupyter-and-zenodo/

Introduction to Jupyter and Open Science - Training @ EaPEC 2019

Materials for the tutorial that was given in Yerevan on September 27, 2019.The tutorial was 2x90 minutes long.
Web page and abstract about the Open Science training is available at: https://events.geant.org/event/2/

2018 CODATA-RDA School of Research Data Science

TRaining material of the 2018 CODATA-RDA School of Research Data Science

The EGI Notebooks for interactive analysis of data using EGI storage and compute services

Material used for the webinar: The EGI Notebooks for interactive analysis of data using EGI storage and compute services

EGI Jupyter Notebooks tutorial

Materials for the tutorial that was given in Taipei on Apr 2, 2019. The tutorial was 3x90 minutes long.

The webpage and abstract of the tutorial is available at https://indico4.twgrid.org/indico/event/8/session/9/?slotId=0#20190402

Jupyterhub Deployment - hands-on training

Jupyter provides a powerful environment for expressing research ideas as notebooks, where code, test and visualizations are easily combined together on an interactive web-frontend. JupyterHub allows to deploy a multi-user service where users can store and run their own notebooks without the need of installing anything on their computers. This is the technology behind the EGI Notebooks service and other similar Jupyter-based services for research.

In this training we will demonstrate how to deploy a JupyterHub instance for your users on top of Kubernetes and explore some of the possible customisations that can improve the service towards your users like integration with authentication services or with external storage systems. After this training, the attendees will be able to deploy their own instance of JupyterHub on their facilities.

Target audience: Resource Center/e-Infrastructure operators willing to provide Jupyter environment for their users.

Pre-requisites: basic knowledge of command-line interface on Linux.

EGI Jupyter Notebooks examples

Some simple notebooks that showcase the EGI Notebooks features.