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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.
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.
Organised by: Axel Naumann, PH Department, Kyle Cranmer, ATLAS and Miguel Angel Marquina
Computing Seminars /IT Department