The conference was organised at the beautiful campus of IIIT Delhi.
I had a lot of fun and learned a lot over the two days of conference. Conferences are my way of taking a busy-break in my own way. I attend for workshops, talks, conference-friends-reunion and most importantly — the hallway tracks.
Day 1 started with an awesome opening keynote by Siraj Raval on Mathematics behind Deep learning. It was a good introduction with a walkthrough of a deep learning code in a jupyter notebook. It was fascinating how Siraj could abstract out complex stuff and made it simple to understand. Here's a tweet about it.
Firefly — Firefly is a small library which exposes a function over an API. So essentially, one can call a function as one makes a API call over REST method. I’m definitely motivated to explore this sweet library further. Over the next one week, I would deep dive into the project to understand the components and perhaps blog about it as well.
NetworkX — In my discussions with James Powell, we discussed quite a few short- comings of NetworkX library. Since I am not completely familiar with it, this can be a good time to strengthen upon some of the basic knowledge I have about the library. By the way, if you’re looking to learn NetworkX, I highly recommend taking up this online course offered by DataCamp.
Overall I had an amazing time meeting so many smart people. I highly recommend everyone to attend PyData Delhi 2018 as well. If you’re looking to attend another super-awesome Python conference - look no further and attend PyCon India 2017 in November in New Delhi.