BIDS Data Science Lecture Series | April 29, 2016 | 1:10-2:30 p.m. | 190 Doe Library, UC Berkeley
A fundamental goal of the study of dynamic graphs is the identification of universal patterns that uniquely couple the dynamic evolution of connectivity with the specific topology of the network—in essence, the discovery of universal spatio-temporal patterns.
This presentation was made at BIDS on March 29, 2016, as part of a Berkeley Data Science Meetup.
This Meetup’s focus will be Jupyter. Members of Project Jupyter’s founding team will give an overview of the project and the Jupyter Notebook, “a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.”