This workshop, facilitated by Software Carpentry, aims to teach scientists and researchers the basic computing concepts and skills that will help them analyze large scale datasets, and let them get more done in less time with less effort. This two-day curriculum shows participants how to automate repetitive tasks with the Unix shell, how to grow a program from a few lines to a few hundred using Python or R, and how to track and share their work using Git. Lessons alternate with hands-on practical sessions, and instructors, who are all working scientists, draw on their own experience to show how these ideas are useful in real-world situations.
The aim of Software Carpentry is to teach researchers the fundamental skills that will help them be more productive while producing work of higher quality. We do that by teaching two day workshops, where students learn how to automate tasks using the Unix shell, how to track and share work using version control, and how to write software in Python or R, that is readable, reusable, and reliable.