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Java One 2015 happened this week. There were so many interesting sessions you could nearly throw a dart at a dartboard with topics and go to the one you selected at random. For starters, here's a link to descriptions of the keynotes. And, you can check out the session descriptions here.
The Java language celebrates it's 20th year this year.Here's a free book you can download: Introducing Java 8: A Quick-Start Guide to Lambdas and Streams. Java SE 8 is perhaps the largest change to Java in its history, led by its flagship feature—lambda expressions. If you’re an experienced developer looking to adopt Java 8 at work, this short guide will walk you through all of the major changes before taking a deep dive into lambda expressions and Java 8’s other big feature: the Streams API.
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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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AWS enhances Lambda with console-to-IDE integration and remote debugging, empowering developers to streamline serverless application development. These features enable seamless transitions to IDEs like Visual Studio Code and robust debugging with full access to VPC resources. Discover how these tools optimize workflows in the AWS developer guide and Toolkit for VS Code.
By Steef-Jan WiggersOne first-time track host shares the process, constraints, and takeaways from building a track from scratch at QCon London 2025.
By Erica PisaniThe Uno Platform team has announced the general availability of Uno Platform 6.1, introducing a range of enhancements aimed at improving both developer productivity and cross-platform performance, with a brand new UI control for contextual toolbars. This update comes two months after the 6.0 major version release.
By Edin KapićApple open sourced DiffuCoder, a diffusion large language model (dLLM) fine-tuned for coding tasks. DiffuCoder is based on Qwen-2.5-Coder and outperforms other code-specific LLMs on several coding benchmarks.
By Anthony AlfordJiangjie Qin explains the motivation and use cases for stream and batch unification in Apache Flink. He details how Flink unifies computing models via shared streaming semantics and adapts execution models for efficiency. He shares insights on Flink's handling of event time, watermarks, state in batch processing, and outlines future work for a more seamless & performant data processing experience.
By Jiangjie Qin
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