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Scala

Scala is a general programming language and it runs on JVM. It's a static typed language with many features that make code concise and flexible.

Website: http://scala-lang.org
Location: Orlando
Members: 5
Latest Activity: Jul 27, 2011

Discussion Forum

EasyB

This just in from Luis Espinal of MJUG: http://www.easyb.org/The EasyB syntax for writing stories and specifications is a lot more succinct than…Continue

Tags: mjug, tdd, java, groovy, Scala

Started by Michael Levin Jul 27, 2011.

A file poller implementation in Scala

Want to see how a file poller in Scala looks like? Check out…Continue

Tags: poller, file

Started by Zemian Deng Mar 7, 2009.

Hello world

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…Continue

Started by Zemian Deng Mar 3, 2009.

Simplifying Java Exception with Scala

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…Continue

Started by Zemian Deng Mar 3, 2009.

Scala Reading List

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

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InfoQ Reading List

Presentation: Stream All the Things — Patterns of Effective Data Stream Processing

Adi Polak discusses patterns for effective data stream processing, highlighting common pitfalls and the complexities of balancing data infrastructure. Learn about exactly-once semantics, the challenges of join operations in streaming (including the "Puppies shelter" concept), and crucial error handling strategies.

By Adi Polak

Using Social Drivers to Improve Software Engineering Team Performance

According to Lizzie Matusov, technical drivers like velocity offer an incomplete view of team performance. Social drivers—trust, autonomy, purpose, and psychological safety—provide a fuller picture and reveal important areas of opportunity for improvement. She spoke about the social drivers behind high-performing engineering teams at QCon San Francisco.

By Ben Linders

Microsoft Pledges Deeper European Tech Ties amidst Sovereignty Debate

Microsoft's five digital commitments aim to bolster Europe's tech landscape and sovereignty through a 40% cloud and AI infrastructure expansion, enhanced cybersecurity, and a robust data privacy framework. By establishing a "European cloud for Europe," Microsoft reinforces its dedication to digital resilience while fostering economic competitiveness and supporting the open-source community.

By Steef-Jan Wiggers

Uber’s Journey to Ray on Kubernetes

​Uber has detailed a recent transition to running Ray-based machine learning workloads on Kubernetes. This marks an evolution in its infrastructure, with the aim of enhancing scalability, efficiency, and developer experience. The company recently published a two-part series from Uber Engineering delving into the motivations, challenges, and solutions encountered during this migration.​

By Craig Risi

Adoption of the Model Context Protocol Within the Java Ecosystem

The Model Context Protocol (MCP), an open standard for LLM tool integration, is gaining adoption in Java (Quarkus, Spring AI, etc.). Developers can now run MCP servers more easily using tools like JBang and the MCP Java catalog.

By Shaaf Syed

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