JupyterHub

Operación: 2i2c | Financiamiento: CSIC | Diseño: 2i2c

¡Bienvenida/o al JupyterHub-2i2c de OceanHackWeek en español para los eventos de Octubre-Noviembre 2024! Estos eventos son patrocinados por AECID-Intercoonecta y CSIC.
Esta plataforma da acceso a entornos de Python utilizando JupyterLab y de R utilizando RStudio. El interfaz de JupyterLab inicialmente aparecerá en Inglés por defecto. Para cambiarlo al español, ver las instrucciones que hemos desarrollado.

El resto del año, este servicio es manejado por la iniciativa OceanHackWeek. Agradecemos su colaboración.

Este servicio corre sobre infraestructura de código abierto. Para mayor información, consulte la documentación (en inglés).

Welcome to the OceanHackWeek 2i2c JupyterHub! From October to November 2024, this hub will prioritize support for two events by the OceanHackWeek en español group taking place, October 15-18 and November 25-29. This is a virtual program fully in Spanish serving participants from throughout Latin America.

If you still have access through a previous OceanHackWeek event and are not participating in this event, please use this hub lightly.

This service runs on open source infrastructure. See the 2i2c Pilot documentation for usage and deployment information.

Where can I learn more?

The 2i2c Pilot Hubs Documentation has all of the information that you need to use the hub, as well as information about the deployment technology.

What is a Jupyter Notebook?

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

What is JupyterHub?

JupyterHub brings the power of notebooks to groups of users. It gives users access to computational environments and resources without burdening the users with installation and maintenance tasks. Users - including students, researchers, and data scientists - can get their work done in their own workspaces on shared resources which can be managed efficiently by system administrators.

Who can use this service?

This JupyterHub service is open to anyone that a hub administrator has approved. Generally this means instructors and students. As this is a proof-of-concept service, students should ensure they are backing up their notebooks regularly if they are using this service for course activities.