DevConf.IN'19

Investigative reporting has always remained an eye opener for masses. But sting operations are no more the ultimate weapon for investigative journalism. With the growing avenues of data journalism, data analysis is now the new weapon that allows the journalist to go beyond simple anecdote and gather evidence against corruption.
This paper will focus on how data analytics have employed to do investigative journalism. The paper attempt to analyse on how to analyse and investigate open data to build evidence. It will consider certain case studies. The paper further attempts to explore the concept of data integrity and data cleaning required for investigative journalism.

The company GirlScript was started under Mozilla Open Leaders Program to help beginners in technology and programming. GirlScript supports diversity and wants to bring equality in tech, however it is open to all. This session will be about Anubha's journey of leading GirlScript Foundation and how the community came into existence and what it does.

 An extensive text editor like Emacs which is mostly keyboard-driven may seem quite scary. You need to learn all the keyboard shortcuts, a new programming language and do a bit of coding yourself to get a basic IDE going. But then why are people all the way from poets to scientists using Emacs on a daily basis? This talk will give you an idea of why.

Academics have been part of our life from a very very long time. Unfortunately with the fast paced tech world, our education system fails to cope up. Most of us are still learning the legacy stuff. How can we fix this? Students tend to miss out on opportunities due to lack of knowledge and/or confidence. Here comes the role of communities, it not only helps in building a network of like minded folks but also helps in seeking the right opportunities. Sayantika would address all those unsung pain points of a student's journey from 0 to 1.

NLP- Real world implementation using RASA.One real world use case and walk through difference phase of implementation using NLP.

This session will cover what Open Source is and how to make the most of Open Source technologies, various contribution pathways and how to get started with upstream projects.

This session will also talk about CNCF community and it's OpenSource projects. Also how to get involved with these project & communities.

I will take a specific use case of deep learning and then show how to build a simple neural network to solve the problem. I will dig deep into the inner workings of the neural network. Specifically, I will be taking each component of the neural network one-by-one (forward propagation, back propagation, activation function, regularization, loss function, optimize, metrics, etc) and explain what mathematical concepts are involved in each component (linear algebra, multivariable calculus, etc). I will then explain how these concepts are used at the mathematical level (at the level of tensors). The focus of the talk will mainly be at the mathematical level and not at the high level of built-in libraries.

Open Source is a great way to learn and has opened many new doors for me. I'll be talking about my journey with Open Source so far, that'll include how I started contributing to Open Source, what I learnt along the way and how it helped me learn new tech.

CRDTs are data types that becomes consistent when they know about other instances of those data types, making them useful to achieve distributed consistency (as done by raft, paxos, operation transformation in google docs)

Resource Link
Link to the original CRDTs Paper: https://hal.inria.fr/inria-00609399/document
CRDTs talk at LSPE: https://kishansagathiya.github.io/talks/Distributed%20Consistency%20with%20CRDTs.pdf

Expected outcomes: Audience leaves the room with clear understanding of what CRDTs are, how they work, it's properties and how to use them to solve their software design problems

Abstractions make things appear simple. This is one of the main concepts behind OOP. So what is it?! This talk will provide some guidelines on how to build abstractions that are extendable and scalable. Throughout the talk using examples Smit will try to differentiate between good and bad abstractions. He will talk about various ways of how to write clean, non-leaky and mature abstractions and present examples of same.

This session will be focusing on trying to trace the general learning pattern of a developer - the self-learning route questioning how they find their communities, study-groups, resources, what they see as building their profiles, and how they integrate this education with the real-world jobs. It is to both trace and provoke conversation along learning online: are we really learning alone or is their a community that is always online to help each other out and do meet-ups help enhance that learning experience? The aim of this discussion is to uncover and explore the realm of possibilities for future learning and future jobs. Can MOOC credits help create an entire profile? Can online community referrals help a newbie build their own career from scratch? Do we see the patterns of Lambda Schools arising out and displace the traditional College Education in general? These are the questions and discussions that we would be attempting.