Apache Kafka for the Spring Developer
Explore Apache Kafka integration with Spring ecosystem for scalable, event-driven architectures. Learn Spring Kafka, Reactor Kafka, Spring Cloud Stream, and Spring Cloud Function through live coding examples.
Untangled - Sneak Peek at Project Loom
Explore Project Loom's lightweight concurrency for JVM, including fibers, threads, and coroutines. Discover code samples, prototypes, and potential JVM revolution, with insights on using Quasar.
Java - Quo Vadis
Explore Java's future with insights on Project Panama, Loom, Amber, Valhalla, and Metropolis. Discover how Java adapts to modern cloud environments and serverless computing.
Mastering UI Tests
Discover UI testing best practices and revolutionize your development workflow with Cypress. Learn to write robust, maintainable tests and improve your frontend development process.
Angular, React, Vue and Co. - Peacefully United Thanks to Web Components and Micro Apps
Explore how Web Components and Micro Apps enable long-term maintenance of enterprise solutions by integrating diverse technologies like Angular, React, and Vue into modular, self-contained parts.
Quarkus Super Fast Java to Enable AI in Enterprise Application
Explore how Quarkus enables Java for AI and cloud applications with low memory footprint and quick boot times, enhancing enterprise development for modern environments.
Connect Your Car With Spring Tools
Explore architectural patterns and implementation techniques for connected car technology using Spring tools, with live coding demonstrations and industry insights.
How to Bootifully Make a Front End with JHipster and Vue.js for Your Application
Aprende a crear aplicaciones web rápidas y optimizadas combinando Spring Boot, Vue.js y JHipster. Descubre cómo mejorar tu experiencia de desarrollo y crear frontends eficientes.
JUnit 5 - What's New and What's Coming
Explore JUnit 5's latest features and future developments, with insights on testing Spring and Spring Boot applications effectively using JUnit Jupiter.
Spring Cloud on Kubernetes
Explore Spring Cloud Kubernetes integration with Config Maps, Secrets, and Discovery Services for seamless configuration and service discovery in cloud-native applications.
Benefits of Reactive Programming with Reactor and Spring Boot 2
Explore reactive programming benefits with Reactor and Spring Boot 2, focusing on scalability, resilience, and performance improvements for cloud-native applications through benchmarks and use cases.
The State of Java Relational Persistence
Explore Java relational persistence frameworks: JPA, JOOQ, and Spring Data JDBC. Compare their approaches, pros, cons, and fit for reactive programming to make informed choices for your projects.
Spring Security for N00bz - A Quick Introduction for the Terminally Insecure
Comprehensive introduction to Spring Security, covering defense-in-depth strategies and live coding demonstrations for securing applications using open-source tools.
Graph Neural Networks for Information Extraction with PyTorch
Explore graph neural networks for information extraction using PyTorch, focusing on applications in NLP and understanding tabular documents through spatial encoding of word relationships.
Pointers? In My Python? It's More Likely Than You Think
Explore CPython's memory management, object lifetimes, and pointer behavior. Gain insights into 'is' vs '==', deepcopy, and garbage collection for better Python programming and debugging skills.
Learn CPython by Breaking It
Explore CPython internals, demystify C extensions, and gain insights into Python's inner workings. Suitable for all skill levels, with guided explanations of C code.
Python the Bad Parts
Explore Python's challenges and potential improvements in performance, standard library, garbage collection, and core development, with insights on future directions and community initiatives.
Python Data Science with VS Code and Azure
Discover how Native Notebooks in VS Code enhance data science workflows and learn to deploy machine learning models using Azure Machine Learning service for improved productivity and efficiency.
PyAutoFit - A Classy Probabilistic Programming Language For Data Science
Explore Bayesian inference with PyAutoFit, a probabilistic programming language for data science. Learn core features, model composition, and advanced tools for big data analysis and parallel computing.
Building a Clean, Maintainable and Tested Code Base
Explore best practices for clean, maintainable Python code, including type hinting, docstrings, project structure, and effective unit testing strategies with pytest.
Building Brain-Computer Interfaces with Timeflux
Explore brain-computer interfaces using Timeflux, covering neurophysiology basics, hardware options, and framework architecture. Learn to build processing pipelines and web interfaces for mind-controlled applications.