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Learn techniques for building Java applications, particularly microservices, using Visual Studio Code. Explore workflows, tools, and best practices for Java development in a lightweight IDE environment.
Explore Fog Computing for IoT solutions: benefits, use cases, and architecture. Learn how processing at the edge enhances performance, security, and cost-effectiveness in various physical spaces.
Collaborative art project using CNC routers controlled by Java embedded tech and Oracle Cloud. Learn to use Raspberry Pi for CNC control and fabricate designs.
Explore real-time databases and GraphQL integration in Angular applications, enhancing data management and backend connectivity for powerful, data-driven web experiences.
Explore Ceylon for Android development with Gavin King. Learn unique language features, static typing, and module architecture while building apps in Android Studio.
Explore Ehcache 3's API changes, JSR-107 compatibility, and advanced configuration options. Learn integration techniques, leveraging additional features, and XML configuration for dependency management.
Explore Gradle's Composite Build feature to combine multiple builds, replace binary dependencies, and simplify mono-repo management for improved development workflow and flexibility.
Explore tFactory, an open-source tool for managing Apache Tomcat/TomEE instances. Learn its features, use cases, and how it compares to other DevOps tools for Java infrastructure management.
Explore Android graphics and performance optimization with Google experts. Learn tips, tricks, and techniques to enhance your app's visual appeal and efficiency.
Explore machine learning APIs through a Harry Potter-inspired security system. Learn about smart devices, real-world applications, and future possibilities in this engaging talk.
Explore tools for deploying, scaling, and debugging Java microservices on Google Cloud Platform, including Kubernetes clusters and Stackdriver Debugger for production-level diagnostics.
Explore advanced ConstraintLayout features, best practices, and use cases for flexible Android layouts. Learn from Google developers about the latest updates and tools for efficient app design.
Learn to choose and implement DevOps tools by focusing on key software development concepts, automating processes, and considering your team's unique needs and environment.
Explore integrating machine learning services into Android apps for features like emotion recognition, speech processing, and face detection, without deep ML expertise.
Learn to identify and solve performance bottlenecks using YourKit profiler. Explore real-world examples, analyze CPU and memory usage, and discover unexpected issues in your code.
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