Julia is a high-level dynamic language which was invented out of greed to do more. Unlike other high-level dynamic languages, Julia is really fast. It inherits design tenets from Lisp, builds on the good parts of C, MATLAB, R, Python and Ruby to create a language that is performant and highly productive at the same time.
We are proud to announce the first ever JuliaCon India. It will feature the creators of the language Jeff Bezanson, Stefan Karpinski, and Viral B Shah, and an enthusiastic contingent of Julia programmers in India. It’s a two-day event consisting of a day-long conference (9th Oct) and a workshop (10th Oct).
An introduction to the excellent general purpose computing features in Julia, and what makes it a single ideal tool for data science. Also inroduce how Julia can call Python or C code with 0 overhead. more
Section: Full talk Technical level: Beginner
Demonstrates how Julias low level features can be used to interface with sensors, gather realtime data and visualize/analyze it. more
Section: Crisp talk Technical level: Beginner
Introduce a couple of packages that make it easy to interface a Julia application with external systems. more
Technical level: Beginner
Tensor frameworks are extensively used in Data Analytics for capturing the semantics as well as ease of interpretation of the data. The objective is to demonstrate the ease of tensor usage along with, a comparison with a properietary tool. more
Section: Lightning talk Technical level: Beginner
The objective of the talk is to introduce the audience to some of the problems that the Data sciences group @Ola works on. more
Section: Sponsored session Technical level: Beginner