Kotlin 1.1.60, a new bugfix and tooling update for Kotlin 1.1. adds experimental support for incremental compilation in Kotlin/JS Gradle projects —its aim is to significantly reduce build times during development. But that’s not all! We’re taking a closer look at this update.
Docker is revolutionizing IT — you’re probably hearing this phrase quite often. Still, these questions linger: If we were to look beyond the hype, what’s so disruptive about Docker technology? What are the differences between Docker and a virtual machine? What is hype and where does the real added value lie? We talked with Vincent De Smet about all this and more.
Fn, a new serverless open source project was announced at this year’s JavaOne. There’s no risk of cloud lock-in and you can write functions in your favorite programming language. “You can make anything, including existing libraries, into a function by packaging it in a Docker container.” We invited Bob Quillin, VP for the Oracle Container Group to talk about Fn, its best features, next milestones and more.
The availability of the first Technology Preview of Kotlin/Native which compiles Kotlin directly to machine code was announced six months ago and now we have a sneak peek at the IDE support. JetBrains’ choice for Kotlin/Native is CLion, their IDE for C and C++; CLion 2017.3 EAP is now available for download.
The ascendancy of Python masks a serious question: where are all the other scripting languages? According to the TIOBE Index for November 2017, other dynamically typed languages like Perl, PHP, and Ruby may be on a gentle decline.
What’s cooler than machine learning? Machine learning that’s made by machines. In Tile, a new machine learning language from Vertex.AI, crucial support structures are automatically generated to save time and effort.
JUnit 5 is out the door as the next generation test framework! In this article, Noopur Gupta explains some useful tips and examples to help you work with it.
It is always fascinating to see the versatile ways in which machine learning can be used. At Outfittery, algorithms help the experts select the most suitable outfits for customers — quite literally. In an interview at W-JAX 2017 in Munich, Jesper Richter-Reichhelm, CTO at Outfittery GmbH, explains how the company uses machine learning and which frameworks they use. He also tells us who makes better suggestions — human beings or machines.
Prometheus 1.0 was released in July 2016 but it’s already old news. Prometheus 2.0 brings massive performance improvements and has become easier to operate. Let’s see what this major release is all about.
TensorFlow 1.4 is here! The latest update to one of the most popular open source machine learning projects boasts big changes, new features, and even a couple of bug fixes.
There’s a new, free, and open-source Python library for automatic differentiation! Tangent —an experimental release— offers extra autodiff features other Python machine learning libraries don’t have. Plus, it’s compatible with TensorFlow and NumPy.
Javalin is a very lightweight web framework for Kotlin and Java and it has just reached a very important milestone: 1.0.0 stable is ready. The good news about Javalin is that there are very few “Javalin-concepts” you have to learn.
Upwork’s latest Skills Index shows that the top 10 fastest-growing freelance skills list, which includes blockchain, Bitcoin, React.js, deep learning and more jumped over 200 percent compared to the same time period last year. Swift, AngularJS and machine learning have been ousted from the Top 10 list but they are still among the hottest freelance skills.