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Make Data Work
Oct 15–17, 2014 • New York, NY
Fernando Perez

Fernando Perez
Associate Researcher, UC Berkeley and Lawrence Berkeley National Laboratory

Website | @fperez_org

Fernando Pérez is a research scientist at UC Berkeley, working at the
intersection of brain imaging and open tools for scientific computing. He
created IPython while a PhD student in Physics at the University of Colorado in
Boulder. Today, with all the hard work done by a talented team, he continues
to lead IPython’s development as the interface between the humans at the
keyboard and the bits in the machine.

He is a founding member of NumFOCUS, a PSF member, and received the 2012 Award for the Advancement of Free Software for IPython and contributions to
scientific Python.


9:00am–5:00pm Wednesday, 10/15/2014
Data Science
Location: 1 E12/1 E13
Fernando Perez (UC Berkeley and Lawrence Berkeley National Laboratory), Brian Granger (Cal Poly San Luis Obispo), Andy Terrel (NumFOCUS), Peter Wang (Anaconda), Jake VanderPlas (eScience Institute, University of Washington), Olivier Grisel (Inria & scikit-learn), Travis Oliphant (Anaconda), Wes McKinney (Two Sigma Investments), Trent Nelson (Continuum Analytics), Kayur Patel (Google), Kester Tong (Google)
Average rating: ****.
(4.43, 14 ratings)
Python has become an increasingly important part of the data engineer and analytic tool landscape. Pydata at Strata provides in-depth coverage of the tools and techniques gaining traction with the data audience, including iPython Notebook, NumPy/matplotlib for visualization, SciPy, scikit-learn, and how to scale Python performance, including how to handle large, distributed data sets. Read more.
4:15pm–4:55pm Thursday, 10/16/2014
Data Science
Location: 1D
Brian Granger (Cal Poly San Luis Obispo), Fernando Perez (UC Berkeley and Lawrence Berkeley National Laboratory)
Average rating: *****
(5.00, 4 ratings)
The IPython Notebook is an open-source, web-based interactive computing environment. The Notebook enables users to author documents that combine live code, descriptive text, mathematical equations, images, videos, and arbitrary HTML. This talk will describe how IPython is evolving to support a wide range of programming languages relevant in data science, including Python, Julia, and R. Read more.
10:30am–11:00am Friday, 10/17/2014
Office Hour
Location: Table C
Brian Granger (Cal Poly San Luis Obispo), Fernando Perez (UC Berkeley and Lawrence Berkeley National Laboratory)
Stop by and check in with two of the co-founders of the Jupyter Project and the new multiuser Jupyter Notebook server. Brian and Fernando can tell you how to use IPython/Jupyter notebook for telling data- and code-driven stories; how to use the Notebook with languages such as R and Julia; and how to integrate the Notebook with Google Drive. Read more.