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CS3 2024 - Cloud Storage Synchronization and Sharing

11–13 Mar 2024
CERN
Europe/Zurich timezone

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Session

Collaborative Data Science and Visualisation

12 Mar 2024, 10:00
503/1-001 - Council Chamber (CERN)

503/1-001 - Council Chamber

CERN

162
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Conveners

Collaborative Data Science and Visualisation

  • Guido Aben (SUNET)

Presentation materials

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  1. 129. Jupyterhub on Kubernetes as a platform for developing secure shared environment for data analysis at MAX IV
    Andrii Salnikov
    12/03/2024, 10:00
    User Voice: Innovative Applications, Data Science Environments & Open Data
    Presentation

    MAX IV Laboratory has operated as a user facility since 2016 and continuously evolving the IT infrastructure to facilitate data collection and enable end-user data analysis possibilities. Jupyterhub running on the bare-metal Kubernetes cluster is one of the primary environments at MAX IV premises aimed to address the challenge of providing secure and shared service, while optimizing access to...

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  2. 150. Develop data-centric web apps in Jupyter with Voilà and VOIS
    Davide De Marchi (European Commission - Joint Research Centre)
    12/03/2024, 10:20
    User Voice: Innovative Applications, Data Science Environments & Open Data
    Presentation

    After more than four years of experience in developing dashboards with Jupyter and Voilà [1] and the development of a library that simplifies the creation of user interfaces for compelling interactive visualization, we can say that yes: it is possible to use Jupyter as an advanced development environment for the creation of complex web applications, centred on data and equipped with a simple...

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  3. 169. Evolving SWAN through simplification
    Diogo Castro (CERN)
    12/03/2024, 10:40
    User Voice: Innovative Applications, Data Science Environments & Open Data
    Presentation

    SWAN stands for Service for Web-based ANalysis, also known as CERN's Jupyter service.
    The project has undergone a transformative evolution in response to - and to align with - the changes in the upstream Jupyter project. This evolution prompted a simplification of our customizations, enhancing the project maintainability and facilitating deployments beyond CERN.
    In this presentation, we will...

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