Python Metaprogramming and Conversion to Python 3

The Hacker Within

Hacking

March 2, 2016
4:00pm to 5:30pm
190 Doe Library
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This Week's The Hacker Within

  • Speakers: Ryan Pavlovsky and Matthias Bussonnier
  • Topic: Python Metaprogramming and Conversion to Python 3

http://thehackerwithin.github.io/berkeley/

This is a weekly meeting for sharing skills and best practices for scientific computation. Based on The Hacker Within Scientific Computing Group from the University of Wisconsin–Madison, the UC Berkeley chapter uses this as a structured set of skill-sharing sessions for scientific software development (e.g., testing, data management, version control, literate programming, etc. ) The goal is to learn cool skills and incorporate these practices into our workflows. People from all scientific disciplines are welcome. This meeting would be a great venue for describing neat tips and tricks for efficiency, introducing new libraries, showing off useful features of a scientific code you're using, or bringing up a computational problem you're having.

Participating is really easy: 

  • First, you'll show up. 
  • At 4:00 p.m., there will be tutorial/discussion about a scientific computation topic. 
  • Next, there will be a time for a couple of lightning talks, which are five- to ten-minute blasts of information about a particular topic or question of interest to the group.
  • Feel free to hang around and discuss your needs and current projects with other attendees.

To volunteer to give a talk, just let the listhost know by email at ucb-hacker-within@lists.berkeley.edu.

Speaker(s)

Matthias Bussonnier

Alumni - BIDS Postdoctoral Scholar

Matthias Bussonnier was a postdoctoral scholar at BIDS working on Project Jupyter.  He received his PhD in Biophysics at Institut Curie (Paris, France) after a training in fundamental Physics at ENS Cachan (France).  Matthias worked on developing tools for modern computational research across disciplines, with an emphasis on high-level languages, literate computing, and reproducible research. In particular, Matthias has been a core developper of the IPython and Jupyter Project team since 2011 and worked on bringing real-time collaboration to scientific tools.