Data-driven computational narratives with IPython & Project Jupyter

Fernando Pérez (@fperez_org (https://twitter.com/fperez_org)) and Brian Granger (@ellisonbg (https://twitter.com/ellisonbg)), creators of IPython and Project Jupyter, will be in town and presenting at Hacks/Hackers NYC on Oct. 15 at 6:30 p.m.

Don't miss this talk! RSVP today (https://www.meetup.com/hacks-hackers-nyc/events/207427292/) ($10, payable in advance) to Hacks/Hackers NYC.*

IPython and Project Jupyter: an architecture for data-driven computational narratives across programming languages.

As we are increasingly inundated with data, complex problems require quantitative analysis for making informed decisions, be it in science,business or society at large.

Project Jupyter (http://jupyter.org), evolved from IPython (http://ipython.org), is a set of components that support interactive computing in multiple programming languages.

In this talk we will focus on one aspect of the project, the interactive Notebook system that allows users to create documents that combine code along with the results of computation, rich text and multimedia elements.

These Notebooks are "literate computing" documents that can be not only executed, but also converted to formats like HTML or PDF for sharing and integration into blogs or other websites.

The Jupyter Notebook enables the creation of documents combining a narrative along with the supporting data and code that extracts analytical insights from the data.

Brian Granger is an Associate Professor of Physics at Cal Poly State University in San Luis Obispo, CA. He has a background in theoretical physics, with a Ph.D from the University of Colorado. His current research interests include quantum computing, parallel and distributed computing and interactive computing environments for scientific computing and data science. He is a leader of the IPython project, co-founder of Project Jupyter and is an active contributor to a number of other open source projects focused on data science in Python. He is a board member of the NumFocus Foundation and a fellow at Cal Poly's Center for Innovation and Entrepreneurship. He is @ellisonbg on Twitter (https://twitter.com/ellisonbg) and GitHub (https://github.com/ellisonbg).

Fernando Pérez (@fperez_org (https://twitter.com/fperez_org)) is a research scientist at the UC Berkeley Helen Wills Neuroscience Institute, and a founding investigator of the Berkeley Institute for Data Science, created in 2013. He received a PhD in particle physics, followed by postdoctoral research in applied mathematics, developing numerical algorithms. Today, his research focuses on creating tools for modern computational research and data science across domain disciplines, with an emphasis on high-level languages, literate computing and reproducible research.

He created IPython while a graduate student in 2001 and continues to lead it as it evolves into the Jupyter Project, now as a collaborative effort with a talented team that does all the hard work. He regularly lectures about scientific computing and data science, and is a member of the Python Software Foundation as well as a founding director member of the Numfocus Foundation. He is the recipient of the 2012 Award for the Advancement of Free Software from the Free Software Foundation.

Schedule:

6:30 p.m.: Doors, dinner + socializing

~7 p.m.: Presentation by Fernando Perez and Brian Granger

~8 p.m.: Hiring announcements, networking and socializing

*Refund policy: Cancel at least 24 hours before the event (that is, no later than 6:30 p.m. Oct. 14) to receive a full refund. We cannot issue refunds after that.

A big thanks to Paperless Post (http://dev.paperlesspost.com) for hosting us. (And yes, they're hiring (https://www.paperlesspost.com/jobs).)

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