Tracy Miranda demonstrates Python with the Eclipse Advanced Scripting Environment (EASE) for collaboration, reproducible research, and exploratory computation and data analysis.
Ari Lerner discusses the options for building next-gen front-end apps, demonstrating how to build and deploy an app using both Angular 2 and React.js.
Jim Sproch describes how reconciliation works within React, and how to use it to enhance both performance and user experience.
David Talby demos using Python libraries to build a ML model for fraud detection, scaling it up to billions of events using Spark, and what it took to make the system perform and ready for production.
Roy Rapoport discusses the power of alignment (or lack thereof) using real-world examples, his experience introducing Python in production, and the organizational structures and culture within Netflix
Adam Miskiewicz goes beyond the React Native docs and talks about best practices for building responsive and production-ready React Native applications with Redux, Relay, and GraphQL.
Ian Bull introduces Node4J and explores the performance characteristics and highlights the tools that help one develop, debug and deploy Node.JS applications running directly on the JVM.