Scientific computing for the terabyte-less

[ UUID ] b65ef2d2-4167-47a7-bfaa-48f90b44e25f

[ Session Name ] Scientific computing for the terabyte-less [ Primary Space ] Open Innovation [ Secondary Space ] Digital Inclusion

[ Submitter's Name ] Timothée Poisot [ Submitter's Affiliated Organisation ] Université de Montréal [ Submitter's Github ] @tpoisot

[ Additional facilitators ]

What will happen in your session?

Most of us do not have big data. Most of us barely have data. But there is virtually no training in scientific computing for people with small (or reasonable) needs. What if I don't want to run distributed code? What even is Hadoop? Can I still do scientific computing? In this session, we will try to answer "Yes, you can", and then work on determining the "minimum skills" for scientific computing, for people that don't have big needs.

What is the goal or outcome of your session?

We will start planning the collaborative development of peer-reviewed teaching resources. I anticipate that this will take the form of Jupyter notebooks, promoting the integration of code, data, figures, and narrative. Ideally, a first version would be release within 6 months from mozfest.

If your session requires additional materials or electronic equipment, please outline your needs.

A projector will be sweet. Post-it notes, pen, and paper, would be great!

Time needed

90 mins

MozillaFoundation / mozfest-program-2017