Kotlin 1.8.0 Released

Kotlin Multiplatform is steadily progressing toward Stable, and the technology’s ecosystem is continuing to expand and mature. None of this would be possible without the community’s contributions. In order to celebrate the community’s creation of articles, videos, and samples, we regularly run the Kotlin Multiplatform Content Creators Recognition Campaign. Today, we would like to share some great new content that will inspire learners and make the official resources more complete. Generate Kotlin client for a complex web API – In this article, Maria Krol shows us how to create a Kotlin Mult

Kotlin 1.8.0, Roadmap for 2023, KotlinDL on Android, and more news in the Kotlin monthly digest. Check it out!

GSoC is a global online stipend program focused on bringing new contributors into open-source software development. This is an excellent opportunity to work on a 12-week programming project with the Kotlin Foundation under the guidance of mentors from Google, and JetBrains, while gaining experience on a real-world project in the open-source community.

We’ve been working on a new frontend for the Kotlin compiler (code-named “K2”) for quite a while. The new frontend is already available for preview – we’re continually polishing and stabilizing it and plan to make it the default compiler frontend in a future Kotlin release. We’ve decided to name this future release Kotlin 2.0. Keep reading to learn more about the roadmap for the Kotlin 2.0 release, our motivation, and what to expect from it.

Kotlin/Native supports many targets thanks to its LLVM backend – 27 as of 1.8.0, to be exact! While most of the heavy lifting is already being done by LLVM, we still have a lot of work to do. For example, we still need to: Develop platform-dependent features like a memory manager.Maintain and update platform libraries and dependencies.Fix ABI-specific problems like calling conventions. At the beginning of the Kotlin/Native project, we explored the possibilities and limits of the technology by adding different, sometimes exotic, targets. With the Stable release approaching, we, unfortunat

It's now possible to build the Kotlin project locally and get the same set of artifacts that we publish to GitHub and Maven Central after each Kotlin release.

Improvements for library authors’ experience planned and what’s already been done, particularly the Dokka documentation update.

Kotlin 1.8.0, Roadmap for 2023, KotlinDL on Android, and more news in the Kotlin monthly digest. Check it out!

It's time for another Kotlin Dataframe update to start off the new year.There have been a lot of exciting changes since the last 0.8.0 preview release. So without any further ado, let's jump right in! TL;DR: OpenAPI type schemas can now be parsed and converted into data schemas.New JSON reading options include type clash tactics and key/value paths.Support for writing Apache Arrow files has been added.Many bugs have been fixed.Make sure to update your Kotlin Jupyter kernel if you use DataFrame there. Kotlin DataFrame on GitHub OpenAPI Type Schemas JSON schema inference is great,

We are incredibly grateful to the hundreds of people who participated in Advent of Code in Kotlin this year! We want to recognize the amazing community spirit we saw during Advent of Code, so we’re sending prizes to 15 participants.

Kotlin Multiplatform Mobile is in Beta, and the technology’s ecosystem is continuing to expand and mature. All of this would be impossible without the community's contributions. In order to celebrate the work of the community’s authors of articles, videos, and samples, we’re launching the Kotlin Multiplatform Mobile Content Creators Recognition Campaign. Today, we would like to share some great new content that will inspire learners and make the official resources more complete. It’s never too late to become a part of the growing community of Kotlin Multiplatform Mobile content creators

Version 0.5 of our deep learning library, KotlinDL, is now available! This release focuses on the new API for the flexible and easy-to-use deployment of ONNX models on Android. We have reworked the Preprocessing DSL, introduced support for ONNX runtime execution providers, and more. Here's a summary of what you can expect from this release: Android supportPreprocessing DSLInference on accelerated hardwareCustom models inference KotlinDL on GitHub Android demo app (more…)