This week at The Hacker Within -- Wed, 2/7 at 5pm Berkeley Time in BIDS (190 Doe Library) -- we will be learning about how to use Jupyter notebooks with Stuart Geiger. This will be an intro-to-intermediate, language-independent walkthrough of using Jupyter notebooks, with all of you following along on your own laptops if you'd like. Please feel free to circulate this and invite others, there are no prerequisites.
If you want to install Jupyter locally, it comes bundled with Anaconda, so try to download and install it before coming (it is about a 500mb download). If you want some help getting it installed, come sharp at 5:00pm or a bit before and we can help. We also now have set up our GitHub repo with mybinder, so you can launch a temporary Jupyter notebook server pre-loaded with everything in our repo by clicking the "mybinder" link on our webpage and our GitHub repo. But note that this server will be deleted after a couple hours.
Hope to see you there!
Full details about this session of The Hacker Within will be posted here: http://www.thehackerwithin.org/berkeley/posts/2018-02-07-jupyter.html.
The Hacker Within is a weekly peer learning group for sharing skills and best practices in scientific computation and data science. In these friendly sessions, peers at all levels of experience share topics useful in scientific software development workflows. For more information, sign up for the THW mailing list or contact the organizers directly at email@example.com.
R. Stuart Geiger
Former BIDS Ethnographer Stuart Geiger is now a faculty member at the University of California, San Diego, jointly appointed in the Department of Communication and the Halıcıoğlu Data Science Institute. At BIDS, as an ethnographer of science and technology, he studied the infrastructures and institutions that support the production of knowledge. He launched the Best Practices in Data Science discussion group in 2019, having been one of the original members of the MSDSE Data Science Studies Working Group. Previously, his work on Wikipedia focused on the community of volunteer editors who produce and maintain an open encyclopedia. He also studied distributed scientific research networks and projects, including the Long-Term Ecological Research Network and the Open Science Grid. In Wikipedia and scientific research, he studied topics including newcomer socialization, community governance, specialization and professionalization, quality control and verification, cooperation and conflict, the roles of support staff and technicians, and diversity and inclusion. And, as these communities are made possible through software systems, he studied how the design of software tools and systems intersect with all of these issues. He received an undergraduate degree at UT Austin, and an MA in Communication, Culture, and Technology at Georgetown University, where he began empirically studying communities using qualitative and ethnographic methods. As part of receiving his PhD from the UC Berkeley School of Information, he worked with anthropologists, sociologists, psychologists, historians, organizational and management scholars, designers, and computer scientists.