Jupyter Newsletter 12• March 30, 2017
IBM Brings Jupyter and Spark to the Mainframe
IBM Brings Jupyter and Spark to the Mainframe
IBM has been an active collaborator with Project Jupyter for a number of years. In a recent blog post, Jupyter developer and Steering Council member, Brian Granger, describes IBM’s recent work to bring the Jupyter Notebook, Anaconda and Apache Spark to IBM’s z/OS mainframe platform.
“IBM is a great example of a large company that is engaging with the Jupyter community in a productive, supportive and helpful manner. Their work to bring Jupyter to the z/OS platform is the result of years of steady contributions to the open-source Jupyter ecosystem,” says Granger.
IBM is also a Platinum Sponsor of Jupyter’s parent non-profit organization, NumFOCUS.
760,000 Public Jupyter Notebooks on GitHub and Climbing
The nbestimate project tracks the historical count of public Jupyter notebook files on GitHub. This data helps us to understand the total number of Jupyter users and shows a very encouraging trend: the total number of notebooks shared by users on GitHub will likely cross the 1 million mark in mid 2017. The data comes from running a GitHub search query once a day and visualizing the result over time. Here is a recent visualization from this repository:
GitHub launches Open Source Guides
Whether you’re interested in making your first contribution to an open-source project or looking for information on how to sustain an existing project, GitHub has a guide you will likely find helpful. Earlier this year they launched Open Source Guides, which aims to address the most important topics relevant to contributors and leaders of open-source projects. This guide is thoughtful and very well written.
Featured Community Members
Christopher Erdmann is an author, developer and experimenter in the areas of digital libraries, social networking, library UX, interactive technologies, bibliometrics and data services in libraries. He is currently the Chief Strategist for Research Collaboration at the NCSU Libraries and has previously worked for organizations such as the Harvard-Smithsonian Center for Astrophysics, European Southern Observatory, Supreme Court of the US, United Nations, University of Washington, Smithsonian (NMAH) and CNET. In 2016 Christopher was one of the lead organizers for the first JupyterDays in Boston and he is highly supportive of teaching Jupyter to librarians, e.g. Data Scientist Training for Librarians. Follow Christopher using the handle @libcce on Twitter.
Kristen Thyng uses numerical modeling for her work understanding the physics of fluid motion of coastal waters in the Oceanography department at Texas A&M University. For this work, she uses Python for most processing, analysis, and plotting, and Jupyter notebooks in particular when sharing or teaching these results. She uses Jupyter notebooks as vehicles for teaching Python for Geosciences, and the nbgrader package for easy grading of student assignments. Follow Kristen on Twitter @thyngkm or visit her website, kristenthyng.com.
Upcoming events
PyData Amsterdam: April 8–9, 2017, Amsterdam. This two day conference gathers users and developers of data analysis tools for collaboration and inspiration. Jupyter contributor Sylvain Corlay will be in attendance. http://pydata.org/amsterdam2017/
Codeland: April 21–22, 2017, NYC. Jupyter contributors Carol Willing and Safia Abdalla will be speaking on a panel where the topic is open-source. http://codelandconf.com/
