About
Open inquiry through reproducing results is fundamental to the scientific process. Contemporary research relies on software engineering pipelines to collect, process, and analyze data. The open source projects within Project Jupyter facilitate these objectives by bringing software engineering within the context of scientific communication. We will highlight specific projects that are computational building blocks for scientific communication, starting with the Jupyter Notebook. We will also explore applications of projects that build off of the Notebook such as Binder, JupyterHub, and repo2docker. We will discuss how these projects can individually and jointly improve reproducibility in scientific communication. Finally, we will demonstrate applications of Jupyter software that allow researchers to build upon the code of other scientists, both to extend their work and the work of others.
There will be a follow-up demo session in the afternoon, hosted by iML. Details can be found at https://indico.cern.ch/event/725992/ .
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The talk
Credits and licence
- Institution
- CERN
- Department
- EP-IT Data science seminars
- Speaker
- Jessica Forde
- Year
- 2018
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed