As part of NIH's third annual Pi Day celebration, learn more about how to make your research more open and reproducible with this hands-on workshop.
Open and reproducible science requires researchers to be able to easily build, document, and share their analysis pipeline. In this workshop you’ll get a basic introduction to Python and GitHub, two of the most popular tools in the field used to accomplish these goals. Python is a programming language that can be used for data acquisition, wrangling, analysis, visualization and more. Once you have written your code in Python (or other programming languages), you can host your project on GitHub, which allows you to share code, edit code collaboratively, and track your changes with version control.
In this workshop, you’ll set up your GitHub account, write a simple Python program, and practice editing and collaborating with colleagues.
PLEASE NOTE: You will need to bring your own laptop to the workshop. Instructions for installation of required software will be distributed in advance of the workshop, and the instructor will be available to assist with installation and configuration.