Gerard Sans explains RxJS' data architecture based on reactive programming, exploring Observables API using RxJS koans and unit tests. RxJS 5 focuses on performance and usability.
Alexey Kazakov discusses the latest improvements on JSDT -debugging Node.js and browser applications, JSON editing features, integrations with npm and bower-, and the future of the project.
Panelists answer questions on the languages they contributed to: How do you organize thoughts and code? What unique advances in usability did your language make? Why do your users love to code in it?
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.