Jupyter Newsletter 9 • November 22, 2016
Jupyter Branding Guidelines, Jupyter and NERSC’s Supercomputer
Introducing the Jupyter Branding Guidelines
As Project Jupyter expands and grows it becomes more important to define what our brand means and to share guidelines for how contributors, users, and the wider community present materials that include our brand’s message and identity.
We are excited to announce the new Jupyter Branding Guidelines, which document the origins, vision, and spirit of the Jupyter brand, along with guidelines for using our visual assets, such as logos, color palettes, and typography, in a strong and consistent manner.
To see the new Branding Guidelines, visit our design repo: https://github.com/jupyter/design.
We want to emphasize that while we are using the word “brand” here, all of the software of Project Jupyter remains completely free and open-source.
A special thank you to the Jupyter designers and Cal Poly students who developed this guide including Farica Carroll, Spoorthy Vemula, and Cameron Oelson.
Jupyter Notebooks Will Open up New Possibilities on NERSC’s Cori Supercomputer
The Department of Energy’s National Energy Research Scientific Computing Center (NERSC) is using Jupyter notebooks to help researchers more easily access computing resources and will expand these capabilities when the fully deployed Cori supercomputer goes into production this fall. Although a number of university and NSF-supported computing centers are using Jupyter, NERSC is the first DOE supercomputing center to do so. Read more about this project here.
Cal Poly undergraduate student wins Data Science competition using Jupyter
According to its website Cisco has one of the most complex supply chains in the IT industry, with more than 600 suppliers and some 50,000 purchased parts supporting almost 200 product families. Earlier this year they hosted a competition that focused on using data science to help foster innovation in their supply chain.
Recent Cal Poly graduate Ben Buell credits his use of the Jupyter Notebook for allowing him to take the top prize at the competition. The challenge for competitors was to use data science to find a problem in Cisco’s supply chain and present an innovative way to solve it. Cisco provided a massive data set of shipping data from DHL, a third party logistics provider utilized by Cisco. The data contained information like origin of shipment, destination, weight, total cost, etc. Ben was able to merge that data with some open-source airport data to create maps using the Geopy package to illustrate how much Cisco was over shipping product. The main question he explored was how adding the ability to manufacture any part at any production facility could lead to a reduction in financial and environmental shipping costs.
Ben’s participation in the competition led to a full time job offer which he accepted in Cisco’s Supply Chain Transformation group.
Featured Community Members
Min Ragan Kelley has been contributing to IPython since he was an undergraduate in Engineering Physics at Santa Clara University, working with Brian Granger in 2006. His first contribution to IPython was working with Brian and Fernando to build the first version of what would become IPython Parallel, and an early implementation of a web-based IPython notebook in 2006. Min received his PhD in Applied Science and Technology in the Plasma Theory and Simulation Group at UC Berkeley. He is now a postdoc at Simula Research Lab in Oslo, Norway, and focuses on JupyterHub, IPython Parallel, and the underlying protocols and formats of the Jupyter ecosystem, as well as managing Jupyter’s web services such as nbviewer and try.jupyter.org. https://github.com/minrk
Reese Netro is studying Physics and Computer Science at California Polytechnic State University, San Luis Obispo. She spent the summer designing and developing JupyterLab and working closely with the other Cal Poly interns. She also recently served as a mentor for Project Jupyter at the Grace Hopper Celebration’s Open Source Day in Houston. Learn more about her accomplishments at https://www.linkedin.com/in/reesenetro
Recent Events
JupyterDay Hawaii: October 29, 2016 The #JupyterDayHI workshop in Honolulu welcomed 33 participants at the High Technology Development Corporation’s Manoa Innovation Center on a recent Saturday. Chalmer Lowe from Dark Art of Coding presented an introductory tutorial called From Hero to Zero; Jeff Eliasen presented Markdown; and Jason Sewell from DevLeague shared his experience working with Jupyter and GitHub.
Many of the attendees came from various groups in the local computing community spectrum. Audience members included students, health researchers, business analysts, data scientists, and programmers. Although the Jupyter user community in this area is small, this event served as a great foundation to build and grow the number of Jupyter users in Hawaii.
PLOTCON: At the November 15–18, 2016 PLOTCON conference for data visualization in scientific computing, finance, business, and journalism. Fernando Perez presented on the basic ideas that underpin Jupyter, and how these ideas provide “lego blocks” that enable the project team, and the broader community, to develop a variety of tools and approaches to problems in interactive computing, data science, visualization and more.
