We are excited to announce the first JupyterDay Conference in New York City on October 24, 2015 from 9:00am-5:00pm (EST). The event will be held at ImpactHub and registration can be found on EventBrite
JupyterDay NYC is a single-day conference on the open-source Jupyter/IPython Notebook and its underlying architecture. This event is being organized by the core Jupyter/IPython project contributors, some of whom will be present at the conference.
The event will feature speakers who are using the Jupyter Notebook and its architecture in interesting ways. This includes speakers from IBM, Bloomberg, BuzzFeed, Janelia Labs, Bryn Mawr and other local NYC and international companies.
The event is oriented toward individuals and organizations who are already using the notebook, but new users are also encouraged to attend. The main talks of the day will be intermixed with times for informal discussions and lightning talks (sign up in person). There will also be talks covering the current and future roadmap of the project.
Lite breakfast, coffee and lunch will be served.
- 9:15 - 9:40: Check in, networking, breakfast
- 9:40 - 10:20: Brian Granger, Cal Poly
- 10:20 - 11:00: Jeremy Singer-Vine, BuzzFeed
- 11:00 - 11:10: Break
- 11:10 - 11:50: Peter Parente, IBM
- 11:50 - 12:30: Doug Blank, Bryn Mawr
- 12:30 - 1:30: Lunch
- 1:30 - 2:10: Zach Schwartz, O'Reilly
- 2:10 - 2:50: Lorena Barba, GWU
- 2:50 - 3:30: Thomas Caswell, Brookhaven NL
- 3:30 - 3:40: Break
- 3:40 - 4:20: Sylvain Corlay, Bloomberg
- 4:20 - 5:00: Jeremy Freeman, Janelia Labs
Brian Granger, Cal Poly
The current and future state of Project Jupyter
Abstract: Brian is one of the founders and leaders of Project Jupyter. In this talk he will introduce the project and describe current and upcoming work in the community.
Jeremy Singer-Vine, BuzzFeed
Jupyter Notebooks for Transparent, Reproducible Journalism
Abstract: In this talk, Jeremy will describe how Jupyter fits into BuzzFeed News' reproducible-data-journalism workflow. He'll also share some tips and tricks they've learned along the way.
Peter Parente, IBM
Jupyter Incubator: What’s Cooking?
Abstract: Over the last few months the Jupyter community has embraced a new incubation process. IBM has stewarded four proposals through the process. In this session, IBM will provide a quick overview of the incubation process and a quick look at a few projects under incubation. Our goal is to raise awareness for follow-on collaborations.
Doug Blank, Bryn Mawr
Changing Education with Jupyter
Abstract: Doug Blank is a professor of Computer Science at Bryn Mawr College, an all-women's college outside of Philadelphia. He has been using Jupyter in the classroom since its inception to teach a variety of subjects, and he has created many extensions and new language kernels for the Notebook. In this talk, he will describe some of the more interesting uses of Jupyter in the classroom.
Zach Schwartz, O'Reilly Media
Thebe: Jupyter Outside Notebooks
Abstract: Zach will talk about how Thebe turns code blocks on a web page into interactive code examples that you and your visitors can edit and execute. He will discuss how they're using jupyter, docker, tmpnb, and other open source tools to improve the educational experience, and how you can use them on your own site.
Lorena Barba, George Washington University
Pedagogy of Computable Content with Jupyter Notebooks
Abstract: I started using IPython (now Jupyter) notebooks for teaching in 2013 and at once knew they were a killer app. My keynote for the SciPy 2014 conference launched from the concept of “computational thinking,” popularized in computer science, proposing that computing generates new knowledge (which is why we care about reproducibility in computational science) and so it is a form of learning. Computing interactively is like having a conversation with the system under study, helping learners construct knowledge. Now, I have led a “massive open online course” (MOOC) based on Jupyter notebooks and have come to focus on the notion of “computable content.” When educational content can be made powerfully interactive via compute engines in the learning platform, we may realize the dream of Seymour Papert for computing to reshape the learning environment.
Tom Caswell, BNL
Deploying Jupyter at NSLS-II
Abstract: The National Synchrotron Light Source II is a user facility which, when fully built out, will support 60 semi-independent "beamlines" performing X-ray science. We are employing jupyterhub to support data analysis both on- and off-site, providing convenient access to data and shared analysis code. We are also launching tmpnb to support user training and code-sharing.
Sylvain Corlay, Bloomberg
The bqplot visualization package
Abstract: Sylvain will describe the newly released bqplot visualization package from Bloomberg. This visualization library expresses the abstractions of Wilkinson's "The Grammar of Graphics" as interactive IPython widgets.
Jeremy Freeman, Janelia Labs
Sharing and reproducing computation with Jupyter and Binder
Abstract: Open science and open development relies on our ability to freely share and reproduce our work. Binder is an open-source system that lets anyone take Jupyter notebooks from a GitHub repository and bundle them into an executable environment that can be launched from Github by clicking a badge. I will describe how Binder works now, how it’s being used, and where we hope to take it in the future.
We are pleased to have the following sponsors:
Open Data Science Conference (http://opendatascicon.com/)