I attended PyData Delhi 2017 over this weekend which was the first conference organized by PyData Delhi chapter at IIIT Delhi. In fact, it’s one of the first PyData conferences in India. If you wish to be a part of the community, join the meetup group.
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.
Another talk which I particularly enjoyed was by James Powell. He live refactored a Python code to generate Newton’s Fractal on stage. The crux of refactoring involved around not using numba as a dependency and still maintain the same performance. He attempted to attain it by utilizing numpymethods which are mostly unknown to programmers who do not understand ins and outs of numpy library. I believe that doing that sort of refactoring live on stage is a commendable job. Post his talk, I had a good discussion around NUMFocus organization and PyData community at-large and how working professionals can contribute back to the community like PyData.
Key Project Takeaways
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.
3:30 am flight to Pune – just to optimise on the cost and time!
Awesome. Totally worth it.
The GopherCon India 2017 was extremely well organised by Emerging Technology Trust with an excellent Master of Ceremony- Gautam Rege. The conference began with a keynote talk by Frances on “context” package and was followed by several interesting talks on a variety of topics. Overall there existed a good mix of architecture as well as implementation level talks. It was the third edition of GopherCon India attended by close to 300 delegates with representation from 12 countries.
Following are some of the talks which I particularly liked.
Fast and Scalable Machine Learning with GoLang by Vidyasagar Nallapati – Talk slides
Vidyasagar talked about how they built data pipelines using services written in Golang at EMC2, their reasons for exploring Golang as a programming language.
Building Distributed Timeseries Database in Go by Matthew Campbell – Talk Slides
“Flogo – A Golang-powered Open Source IoT Integration Framework by Kai Wähner – Talk slides
I got an opportunity to give a lightning talk on ‘Server Monitoring using Influxdata’. I detailed about how at Zenatix, we’re using Influxdata’s TICK stack for monitoring our servers with right alerts in place. I followed it up with demonstrating some Golang code for writing a Telegraf plugins. Talk slides
Key Projects Takeaway
My discussions around projects revolved around IoT and Data Analytics. Following are some of the good projects that I’d like to try out in-depth.
Flogo – Open source project written in Go for IoT integration. It’s a project released under BSD-style license. It’s definitely one of the projects that I would like to explore from the architecture standpoint.
Gobots – I came to know about this through on my hallway discussions.
Vulcan – Matthew is his talk detailed on how they built Vulcan on top of Prometheus at DigitalOcean. This issue on GitHub details on why Vulcan exists.
The Hallway Tracks
These are tracks which happen when you’re interacting with attendees in the hallways. One of the core reasons why attend most conferences!
In these ‘tracks’, I discuss about the problem we’re solving at Zenatix and also get a perspective on what others think about it.
I had an amazing discussion with William Kennedy on writing a proposal document before planning any feature/bug. According to him, one should try to bring in “Why” before writing any line of code.
According to him, while writing a proposal document, outline it in the following manner.
History of the problem – Give users a flavor of the problem with information around the problem. This is more like the literature survey in academic publications.
Problem definition and why you’re solving it. – Mention the core of the problem and reasons for solving it.
How we’re solving – Details on how we’re going to solve it.
I had a tremendous learning experience at GopherCon India. The GoLang community in India is pretty young. There is a lot that needs to be done to spread the magic of Go around. I believe conferences such as these are one of key factors in determining the success of the community. Kudos to everyone involved with GopherCon India 2017.