Kotlin 1.7.20-Beta Released

Kotlin 1.7.20 Beta, KolinConf workshops, the State of Mobile Jobs survey, and much more news in the Kotlin monthly digest. Check it out!

Hi everyone, Jolan here, with my first actual blog post! It's been a couple of months since the last release of the Kotlin API for Apache Spark and we feel like all of the exciting changes since then are worth another announcement. Let me remind you what the Kotlin API for Apache Spark is and why it was created. Apache Spark is a framework for distributed computations, which data engineers usually use to solve different tasks, like in the ETL process. It supports multiple languages straight out of the box, including Java, Scala, Python, and R. We at JetBrains are committed to supporting one

Join us on Thursday, August 11, 2022, 5:00 pm – 6:00 pm UTC, for our free live webinar, Kotlin and Code With Me: Tips for Collaborative Programming, Teaching, and Learning.

Introducing Multik 0.2.0! Now a multiplatform library, it allows you to use multidimensional arrays in your favorite multiplatform projects. Let's take a closer look at what’s new in v0.2.0. Multik on GitHub (more…)

We’re happy – no, strike that! – we’re thrilled, ecstatic, and overjoyed to announce that KotlinConf is back! 🌷 The next KotlinConf will take place in person in Amsterdam on April 12–14, 2023. Finally we’ll be able to get together again and share the exciting things going on with Kotlin.  Register now to join the Kotlin community at the event of the year. Workshops, talks, and fun are guaranteed! Get your tickets before they run out! Get tickets (more…)

In Kotlin 1.7.0, we've reworked incremental compilation for project changes in cross-module dependencies. The new approach lifts previous limitations on incremental compilation. It’s now supported when changes are made inside dependent non-Kotlin modules, and it is compatible with the Gradle build cache. Support for compilation avoidance has also been improved. All of these advancements decrease the number of necessary full-module and file recompilations, making the overall compilation time faster. The new scheme for incremental compilation is currently Experimental and supports only the JV

Check out this Kotlin Monthly Digest for June to get a glimpse of everything we’ve been working on!

TL;DR: We at the Kotlin team have developed a Kotlin library for data frames. Today we’re releasing its first public preview version. It provides a readable and powerful DSL for data wrangling and i/o via CSV, JSON, Excel, and Apache Arrow, as well as interop with Kotlin data classes and hierarchical data schemas. The library is ready for you to try, and we’re keen to get your feedback. Kotlin DataFrame on GitHub Today we’re unveiling a new member of the collection of Kotlin libraries for data science. We’ve previously written about KotlinDL for deep learning and Multik for tensors.

Starting with Kotlin 1.7.0, you can create build reports for Kotlin compiler tasks. Reports contain durations of different compilation phases and reasons why incremental compilation could not be used. This functionality is still Experimental, so the list of metrics may change. TRY BUILD REPORTS Build reports are useful when you want to investigate issues with compiler tasks. For example, when a Gradle build takes too much time, and it’s quite difficult to understand the root cause of poor performance. Another example is when the compilation time of the same projects differs: sometimes it

Kotlin News: The Release of 1.7.0, Roadmap Updates, Multiplatform Survey Results, and More

Kotlin 1.7.0 unveils the Alpha version of the new Kotlin/JVM K2 compiler, stabilizes language features, and brings performance improvements for the JVM, JS, and Native platforms.

Find the key findings of the Kotlin Multiplatform survey Q3-Q4 2021. We asked our users about their experience with Kotlin Multiplatform.