by Daniel Foreman-Mackey
The field of Observational Astrophysics is beginning to focus on huge datasets covering large portions of the sky over long time periods. This yields an immensely rich dataset but the traditional scientific workflow can no longer efficiently work on these scales. As a graduate student in Astrophysics, I will discuss the growing role of Python in our scientific research development cycle and present several case studies where MongoDB has been an integral component of the workflow.
16th–17th September 2011