Mridul Seth
I am currently working on the NetworkX open source project (work funded through a grant from Chan Zuckerberg Initiative!) Also collaborating with folks from the Scientific Python project (Berkeley Institute of Data Science), Anaconda Inc and GESIS, Germany. Before this I used to work on the GESIS notebooks and gesis.mybinder.org.
I am also interested in the development and maintenance of the open source data & science software ecosystem. I try to help around with the broader Scientific Open Source ecosystem wherever possible. To share my love of Python and Network Science, I have presented workshops at multiple conferences like PyCon US, SciPy US, PyData London and many more!
Sessions
NetworkX is the most popular graph/network library in Python. It is easy to use, well documented, easy to contribute to, extremely flexible, and extremely slow for large graphs.
An upcoming release begins to fix that last issue by calling fast GraphBLAS implementations instead of the native Python implementation.
If you use NetworkX or have ever written a graph algorithm, this talk will be of interest to you as it shows how NetworkX is planning on a path of pluggable algorithm libraries so users can opt-in to faster implementations with minimal code changes.