Perhaps I should have post this as my first message to the group, but I will add it anyway for completeness. Or in case someone wants to try Scala out and at least you can grap this template to start pasting code to trying it out for other examples.

object Hello {
  def main(args: Array[String]): Unit = {
println("Hello world.")
}
}

Save above into Hello.scala, then compile and run your program like these:
powerbookg4:tmp zemian$ scalac Hello.scala
powerbookg4:tmp zemian$ scala Hello
Hello world.

Note that Scala main entry program is a "object" instead of "class". "object" in Scala is like a class that define a type, but it force it to be a singleton(only one instance), so it almost like "static" in Java. Your main entry in command line must be an object with the main method defined.


You may turn your source file into a script by enter a expression that invoke the main method on the end of the file, and then run it through "scala" instead of compiling it. For example:

object Hello {
  def main(args: Array[String]): Unit = {
println("Hello world.")
}
}
Hello.main(args)

Note that variable "args" is predefined when you run it as script. To run it, just invoke like this:
powerbookg4:tmp zemian$ scala Hello.scala
Hello world.

Note the difference. 1 no compile. 2 you give scala the script file name, not the type name!


Happy programming!

Views: 41

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

New Research Reassesses the Value of AGENTS.md Files for AI Coding

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files entirely and limiting human-written instructions to non-inferable details, such as highly specific tooling or custom build commands.

By Bruno Couriol

Architecting for Global Scale: Inside DoorDash’s Unified, Composable Dasher Onboarding Platform

DoorDash has rebuilt its Dasher onboarding into a unified, modular platform to support global expansion. The new architecture uses reusable step modules, a centralized status map, and workflow orchestration to ensure consistent, localized onboarding experiences. This design reduces complexity, supports market-specific variations, and enables faster rollout to new countries.

By Leela Kumili

CNCF Graduates Dragonfly, Marking Major Milestone for Cloud-Native Image Distribution

The Cloud Native Computing Foundation (CNCF) announced recently that Dragonfly, its open source image and file distribution system, has reached graduated status, the highest maturity level within the CNCF project lifecycle.

By Craig Risi

OpenAI Secures AWS Distribution for Frontier Platform in $110B Multi-Cloud Deal

OpenAI's $110B funding includes AWS as the exclusive third-party distributor for the Frontier agent platform, introducing an architectural split: Azure retains stateless API exclusivity; AWS gains stateful runtime environments via Bedrock. Deal expands the existing $38B AWS agreement by $100B and commits 2GW of Trainium capacity.

By Steef-Jan Wiggers

Presentation: So You’ve Decided To Do a Technical Migration

Sophie Koonin discusses the realities of large-scale technical migrations, using Monzo’s shift to TypeScript as a roadmap. She explains how to handle "bends in the road," from documentation and tooling to setting measurable milestones. Sophie shares vital lessons on balancing technical debt with feature work and provides a framework for deciding if a migration is truly worth the effort.

By Sophie Koonin

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service