The Hacker Within, Berkeley

We’ve moved! Come visit us at bids.github.io/dats.


What:

This is a weekly peer learning group for sharing skills and best practices for research computing and data science. In these friendly sessions, peers at all levels of experience share topics useful in our data analysis and software development workflows.

This meeting would be a great venue for introducing new libraries, showing off useful features of a data processing/analysis/visualization library or programming language you’re using, or bringing up a computational problem you’re having.

Who:

Anyone interested how to learn and do things by programming computers is welcome to come to our meetings. You don’t need to be affiliated with UC-Berkeley and you don’t need to come every week. There is no set of prerequsites, although we frequently use bash and the command line, python, R, GitHub, and Jupyter notebooks.

Where:

We meet at the Berkeley Institute for Data Science. Room 190, Doe Library, The University of California - Berkeley. It is on the ground floor of the main library. If you walk up the big marble steps across Memorial Glade, then turn left right as you walk in, you’ll be there!

When:

Wednesdays at 5pm (Berkeley time – starting officially at 5:10, but have a friendly chat from 5:00-5:10 if you like). While the main session should occupy less than an hour, the lightning talks and hacking session usually go on until 6:30pm. See the upcoming topics list or the calendar for the topic for this week.

How:

Communications

Participating:

Participating is really easy.

Why:

The tenets of scientific endeavor (e.g., data control, reproducibility, comprehensive documentation, and peer review) suffer in projects that fail to make use of current development tools such as unit testing, version control, automated documentation, and others.

To avoid these pitfalls, this weekly meeting exists for sharing skills and best practices for computational scientific applications. This group is modeled after The Hacker Within, which began as a student organization at the University of Wisconsin-Madison and is now reborn as a collection of such chapters around the world. Each of the chapters convenes a community of scientists, at all levels of their education and training, to share their knowledge and best practices in using computing to accomplish their work.