Interactive Computing and Data Science with the Jupyter Platform

  • Dr. Fernando Pérez
  • When: October 07, 2016, 14:00
  • Where: Space Telescope Auditorium, 3700 San Martin Drive, Baltimore, MD.


Project Jupyter, evolved from the IPython environment, provides a platform for interactive computing that is widely used today in research, education, journalism and industry. The core premise of the Jupyter architecture is to design tools around the experience of interactive computing, building an environment, protocol, file format and libraries optimized for the computational process when there is a human in the loop, in a live iteration with ideas and data assisted by the computer.

This kind of context is typical of the applied sciences, and is what brought me to create IPython when I was a graduate student analyzing particle physics data. In these scenarios, programming languages are tools used with a different goal and perspective than those from Computer Science or professional Software Engineering. In this talk, I will try to explore how these differences in scientific perspective have framed the evolution of the project’s design, and where its architecture stands today as a modern framework for Data Science used across a wide range of disciplines.


Fernando Pérez (@fperez_org) is a staff scientist at Lawrence Berkeley National Laboratory 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 its evolution into Project Jupyter, 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 member of the Numfocus Foundation. He is the recipient of the 2012 Award for the Advancement of Free Software from the Free Software Foundation.

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Fernando Perez: “Interactive Computing and Data Science with the Jupyter Platform”

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