#scala

#scala

In a democracy as vibrant and diverse as India's, parliamentary speeches are more than just political rhetoric; they mirror national priorities, debates, and evolving ideologies.

The Scala LTS series introduces a delay before backporting non-critical changes from the latest Scala Next stable releases, minimizing regression risks during testing.

In this talk, Kannupriya Kalra, Scala Center mentor and co-creator of LLM4S, demonstrates how Scala's strong types and functional patterns enable safer and more scalable AI development.

Scala Days Seattle showcased networking and learning opportunities for Scala enthusiasts, featuring presentations, workshops, and the unveiling of new projects amidst stunning views and great company.

The sttp library in Scala simplifies making HTTP requests, enabling developers to easily interact with web APIs, like sending messages using Telegram bots.

Akka provides powerful scheduling capabilities to execute tasks at fixed intervals or after certain delays, beneficial for background tasks, health checks, and cache invalidation.

Scala's Future abstracts away traditional multi-threading complexities, allowing asynchronous computations that enhance performance while keeping the main application responsive.

The release of Scala 3.6.4 introduces several important features including JDK 24 support, new REPL commands, and updates to error handling in the compiler.

On October 18, 2024, a technical mistake led to the accidental release of Scala 3.6.0 instead of the intended 3.6.0-RC1. The Scala Core Team promptly launched Scala 3.6.1 as a workaround.

//> using dep com.softwaremill.sttp.client3::core:3.10.3 import sttp.client3.quick.* import sttp.model.Uri val url = Uri.parse(args(0)).toOption.get def go(): Unit = { val getResult = simpleHttpClient.send(quickRequest.get(url)) if (getResult.code.isSuccess) { println("Success") } else { println("Failure, continue to try...") Thread.sleep(3000) go() } } go() This Scala script checks the availability of an HTTP service by continuously sending requests until it receives a successful response from the specified URL.

RabbitMQ exchanges provide flexible message routing mechanisms that help in building scalable and decoupled applications by matching messages to queues based on various rules.