JupyterDays Boston recap
Jupyter Newsletter 2 • March 30
Our latest collaborative event, JupyterDays Boston, brought out over 100 people for two days (March 17–18, 2016) to learn and share their enthusiasm for Jupyter. Day one consisted of various presentations with topics ranging from Jupyter’s history to how Jupyter Notebook extensions can be used to improve workflow in bioinformatic research. Day two gave attendees more opportunities to work hands-on with Jupyter, including an introduction to Docker and building custom Jupyter extensions. For the list of speakers and their slides, visit this link. To learn more about this or past JupyterDays, see the Jupyter blog.
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Jupyter can provide interactivity and live code execution well beyond the Notebook. In one of his posts, @betatim describes how to make a blog interactive, allowing the reader to execute code directly inline. For instructions, visit his tutorial.
With the goal of becoming a natural resource for physics students at the Norwegian University of Science and Technology, the NumFys project makes numerical physics examples and learning modules using the Juptyer Notebook. Most of the notebooks are made by students, and everything is available at numfys.net.
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Matthias Bussonnier | Cameron Oelsen
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Matthias Bussonnier (left) and Cameron Oelsen (right).
Matthias Bussonnier was trained in fundamental Physics at ENS Cachan in France, then went on to earn his Ph.D. in Biophysics from Institut Curie. He has been a core developer of IPython and Jupyter since 2012, and is currently a Postdoc working full time on IPython and Jupyter at UC Berkeley.
Cameron Oelsen is a User Interface Designer for Jupyter based at Cal Poly. Since joining the project a year ago, Cameron has designed and developed the Jupyter website, created marketing material, and enhanced the user interface of the Jupyter platform. He is currently working closely with other Jupyter contributors on JupyterLab, the next generation user interface for the Jupyter Notebook.
Peter Norvig is famous for writing well-organized, detailed notebooks which walk readers through interesting problems. For anyone with a little background in Python and probability, Peter has written a notebook to introduce probability theory here.
May 20-22nd: ODSC Boston 2016, The Open Data Science Conference (ODSC) will be coming to the Boston Convention Center for three full days consisting of 80+ talks, 20+ hands-on workshops, and 10+ all-day tutorial sessions. Attendees will have access to all seven colocated conferences, including Data Visualization, Big Data Science, Data Science for Good, and Open Data. This event will also be hosting a comprehensive job fair with companies from across the country looking to hire for various roles, from data scientists to engineers.
May 24–25: Twillio SIGNAL conference, At this year’s SIGNAL conference, Jupyter contributor Safia Abdalla will outline how Jupyter Notebooks enhance collaboration in science labs and research facilities in her talk titled “How ZeroMQ Makes Science Happen.” She will also cover some of the features on Jupyter’s front end that improve communication and collaboration between research teams, and how the backend kernel infrastructure makes the tool more accessible.
A presentation by Thomas Kluyver and Min Ragan-Kelley about how the Jupyter Notebook has evolved from a Python specific tool to a general data science tool that supports many different languages.
Until Next Time!
Exported from Medium on May 5, 2016.