About
Jupyter (formerly part of IPython) provides tools for constructing and communicating computational narratives. The center of this is the Jupyter Notebook, a web-based interface for interactive computing and a document format for encapsulating and sharing a computational idea. Notebooks interleave prose and math with code, including its output, such as images or interactive HTML. The Notebook has proved valuable as an environment for performing analysis, as well as communicating results via the web or as computational companions to academic publication. JupyterHub is a multi-user server for hosting notebook servers for users with customizable authentication and resource allocation. In addition to Jupyter, IPython provides interactive parallel computing APIs, which, when combined with Jupyter notebooks, enable more interactive access to cluster facilities. Current development and future plans will be discussed, including live collaboration and modularized interfaces to the notebook application.
About the speakers
Min Ragan-Kelley is a postdoctoral researcher in biomedical computing at Simula Research Lab in Oslo, Norway. He received his PhD in computational plasma physics from UC Berkeley in 2013. Min has worked on the IPython and Jupyter projects since 2006 and maintains pyzmq, the Python bindings to the ZeroMQ messaging library..
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The talk
Credits and licence
- Institution
- CERN
- Department
- CERN Computing Seminar
- Taught by
- Thomas Kluyver, Benjamin Dr. Ragan-Kelley
- Year
- 2015
- 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