Harvard Extension School—a cornerstone of Harvard University for a century—represents the University’s dedication to extending its rich academic resources to the public, locally, nationally, and internationally. Today's websites are increasingly dynamic. Pages are no longer static HTML files but instead generated by scripts and database calls. User interfaces are more seamless, with technologies like Ajax replacing traditional page reloads.
Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.
Your perfect guide to building interesting and useful apps with the iOS 10 SDK using Swift
Refine your data science skills with the heavy armory of tools provided by Julia
The course is designed for engineers and data scientists who have some familiarity with Scala, Apache Spark, and machine learning who need to process large natural language text in a distributed fashion.We will use sample of posts from the subreddit /r/WritingPrompts, which contains short stories and comments about the short stories.The course has four parts1. Building a natural language processing and entity extraction pipeline on Scala & Spark2.
Learn the hottest and one of the most popular nosql database management systems by building 10 real world projects.
This course teaches you how to build microservice systems hosted with Kubernetes. It's intended for intermediate to advanced developers or DevOps engineers who have problems they think Kubernetes will solve, but are not sure about the best way to move forward. Participants should have some experience working on web applications as this is not a course on the basics of web hosting.