I have been studying the Scala language for the last several months, and I found it very attractive. Not only it can run on JVM and use any Java library available, it can run with speed as close as Java itself! And yet the language is flexible and concise when needed to make a piece of code ease on eye.

If you haven't check out Scala lately, go download it's package from http://www.scala-lang.org/downloads/index.html. It can be unzip/untar into a directory like C:\opt for example and can start using.

Here is a quick run with an interpreter that comes with the package:

C:\opt\scala\bin\scala
Welcome to Scala version 2.7.1.final (Java HotSpot(TM) Client VM, Java 1.6.0_10-beta).
Type in expressions to have them evaluated.
Type :help for more information.

scala> new java.util.Date
res0: java.util.Date = Wed Jul 16 21:19:44 EDT 2008
scala> def now = new java.util.Date
now: java.util.Date
scala> now
res1: java.util.Date = Wed Jul 16 21:33:20 EDT 2008
scala> now
res2: java.util.Date = Wed Jul 16 21:33:22 EDT 2008
scala> now
res3: java.util.Date = Wed Jul 16 21:33:23 EDT 2008

scala> val sum = 1 + 2 + 3
sum: Int = 6
scala> val nums = List(1,2,3)
nums: List[Int] = List(1, 2, 3)
scala> nums.foldLeft(0)((sum, n)=> sum+n)
res4: Int = 6
scala> nums.map(n=>Math.pow(n,2))
res5: List[Double] = List(1.0, 4.0, 9.0)

As you can see it's pretty neat to play with Scala collections along with anonlymous functions/closure.

What do you think of Scala Language?

-Z

Views: 30

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

Advance Your Socio-Technical Architecture Skills with InfoQ’s New Online Cohorts

Enhance your architectural leadership with InfoQ’s new online cohorts starting April 15, May 7, and June 10, 2026. Led by Luca Mezzalira, this 5-week program focuses on socio-technical skills like ADRs, platform engineering, and AI trade-offs. Senior practitioners can apply frameworks to live projects, earn ICSAET certification, and contribute to the InfoQ community.

By Ian Robins

Making Retrospectives Effective with Small Concrete Actions and Rotating Facilitators

Teams can run regular retrospectives that focus on 1–2 concrete weekly actions to avoid complaint circles, Natan Žabkar Nordberg mentioned at QCon London. You can rotate facilitators to build ownership, with each one bringing their own unique perspective. He suggested framing bigger changes as 4–6 week experiments, then vote to keep, tweak, or revert, ensuring learning and continuous improvement.

By Ben Linders

AWS Launches Strands Labs for Experimental AI Agent Projects

Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to agent-based AI development.

By Daniel Dominguez

Claude Opus 4.6 Introduces Adaptive Reasoning and Context Compaction for Long-Running Agents

Anthropic’s Claude Opus 4.6 introduces "Adaptive Thinking" and a "Compaction API" to solve context rot in long-running agents. The model supports a 1M token context window with 76% multi-needle retrieval accuracy. While leading benchmarks in agentic coding, independent tests show a 49% detection rate for binary backdoors, highlighting the gap between SOTA claims and production security.

By Steef-Jan Wiggers

Running Ray at Scale on AKS

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, and problems with credential expiry.

By Claudio Masolo