One feature of Scala is it reuse Java's Exception class hierarchies, but much easier to use. For one thing, it treats Exception as "unchecked" just like RuntimeException, which I think one of the reason it causes Java to be unnecessary verbose. For example when opening a file stream, one way Java can do it is:

public void doFile(File file) throws FileNotFoundException, IOException {  
  FileInputStream fins = null;
try{
fins = new FileInputStream(file);
//process it.
}finally{
if(fins != null){ fins.close(); }
}
}

But in Scala equivalent can be done as follow:
def doFile(file: File): Unit = {  
  val fins = new FileInputStream(file)
try{
//process it.
}finally{
fins.close
}
}

In Scala, you don't need to predefine the "fins" to null then try it, and then check to close in finally block, because if FileInputStream failed, an FileNotFoundException instance will be thrown out of the method, before reaching to the try block. In addition, the Scala user of the doFile method do NOT need to invoke it inside a try/catch block, while Java requires it. This is possible because Exception, or any subclasses are "uncheck" as default in Scala. This mean that the exception will keep throw to next stack frame until it finds a "catcher". If none are found, it will exit main at the end.

Views: 31

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Cactus v1: Cross-Platform LLM Inference on Mobile with Zero Latency and Full Privacy

Cactus, a Y Combinator-backed startup, enables local AI inference to mobile phones, wearables, and other low-power devices through cross-platform, energy-efficient kernels and a native runtime. It delivers sub-50ms time-to-first-token for on-device inference, eliminates network latency, and defaults to complete privacy.

By Sergio De Simone

Presentation: Ecologies and Economics of Language AI in Practice

Jade Abbott discusses the shift from massive, resource-heavy models to "Little LMs" that prioritize efficiency and cultural sustainability. She explains how techniques like LoRA, quantization, and GRPO allow for high performance with less compute. By sharing the "Ubuntu Punk" philosophy, she shares how to move beyond extractive data practices toward human-centric, sustainable AI systems.

By Jade Abbott

Python Workers Redux: Wasm Snapshots and Native uv Tooling

Cloudflare's latest advancements in Python Workers revolutionize serverless performance with near-instant cold starts, expanded package compatibility, and streamlined workflows via the uv package manager. By leveraging memory snapshots and WebAssembly, Cloudflare drastically reduces startup times, making Python a prime choice for AI and data science applications.

By Steef-Jan Wiggers

Nuxt Introduces Native Request Cancellation and Async Handler Extraction for Performance Gains

Nuxt 4.2 elevates the developer experience with native abort control for data fetching, improved error handling, and experimental TypeScript support. With a 39% reduction in bundle sizes and a streamlined app directory, this release enhances performance and project organization, positioning Nuxt as a leading choice for full-stack web applications built on Vue.js.

By Daniel Curtis

OpenAI and Anthropic Donate AGENTS.md and Model Context Protocol to New Agentic AI Foundation

OpenAI and Anthropic have donated their AGENTS.md and Model Context Protocol projects to the Agentic AI Foundation (AAIF), a new directed fund under the Linux Foundation. Block contributed their agent framework, goose, as another founding project, and several other tech companies have joined as Platinum members.

By Anthony Alford

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service