Lawrence berkeley national laboratory sep 2015 - Jupyter Talk
Scientific facilities are increasingly generating large data sets. Next-generation scientific productivity relies on user-friendly tools and efficient, effective and seamless access to resources and data. Traditional approaches to research and software development for science focus on the hardware and software of the machine and do not consider the user. In this talk, I will highlight a different approach to building software for scientific users by including user knowledge in the process. I will illustrate a few example projects where this has been used to date.
GIthub repository: https://github.com/Carreau/talks/tree/master/labtech-2015