Fernando Pérez presents UC Berkeley's massive adoption of Jupyter as infrastructure for data science education as a case study of institutional transformation. The Data 8 course enrolls 1,300 students per lecture and could reach 50% of all undergraduates annually, powered entirely by Jupyter notebooks and cloud-based JupyterHub infrastructure at roughly $2 per student per week. The ecosystem includes connector courses, drop-in modules for existing courses, and a new data science major drawing students from 73 different majors with improved gender diversity. Pérez emphasizes this was built with minimal resources by a team of mostly undergraduates, and frames the broader question of what happens when computational literacy becomes as commonplace as email across an entire university.
Aug 1, 2018 Jupyter & IPythonData Science Education
