This session will be your opportunity to do a live Q&A with the Visual Studio product team that works on the React Native extension as well as TACO (the Tools for Apache Cordova). Joining the team will be two special guests from Exponent, makers of the Exponent Development Environment - a suite of tools to help developers build apps using ReactNative
Parashuram A Program Manager in the Visual Studio team, building developer tools for cross platform mobile application runtimes like React Native and Cordova. He is a core committer in the Apache Cordova project. He also works on open source tools for react and react-native, including projects like an adapter to use Cordova plugins in React Native, and a custom react renderer that uses Web Workers.
Jonathan Carter Program Manager in the Visual Studio team, working on developer services for mobile apps including Visual Studio Team Services, HockeyApp and CodePush.
Brent Vatne Developer at Exponent (exponentjs.com), building a platform to deliver mobile experiences that combine the best of web and native. Brent is a core contributor to React Native, compiler of the React Native Newsletter (reactnative.cc) and an organizer of React.js Conf 2016.
Moderated by Seth Juarez of Channel9
Please join us April 7th, at 10am PDT. See you then!
In this talk, Martin Woodward will share some of the lessons learned as Microsoft made the historic step of taking .NET open source. He will explain the history and motivations behind the move, discuss some of the tensions of product development in the open, explain how the team have adapted, what they could have done better and what has worked well.
Let's dive together into the the world of Star Wars! We'll use the force of F# to process publicly available datasets relating to the Star Wars movies and we'll find out who's the most important character in the stories and why were the prequels so unsuccessful. On the way, you'll see why F# is a great language for data science - from preprocessing the data to visualizing them - and you'll also learn how you can use similar data processing pipelines to get interesting insights from your own data.