
Explore real-time investment alerts using Apache Kafka and Spring Kafka at ING Bank. Learn how to handle massive stock price streams, match customer alerts, and deliver timely notifications while meeting regulatory requirements.

Comprehensive introduction to Spring Security, covering defense-in-depth strategies and live coding demonstrations for securing applications using open-source tools.

Explore cloud-native app development using Spring Cloud GCP, leveraging Google Cloud's managed services for databases, event processing, security, and observability. Learn deployment to Kubernetes with Jib and Skaffold.

Explore data loss prevention strategies for cloud applications, including risk factors, security broker benefits, and deployment options for protecting enterprise data in SaaS environments.

Explore software supply chain security using the Yocto Project, focusing on generating and utilizing Software Bill of Materials (SBOM) for enhanced transparency and risk management.

Explore Presto, a powerful SQL engine for data platform teams, and learn how it can enhance your data analytics capabilities and streamline query processing across diverse data sources.

Explore graph neural networks for information extraction using PyTorch, focusing on applications in NLP and understanding tabular documents through spatial encoding of word relationships.

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.

Explore Python automation by recreating Git's commit functionality, learning key-value storage, recursion, and utility script structuring while improving programming practices.

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.

Improve API security design using tools and guidelines. Learn about JSON complexities, schemas, JWTs, rate-limiting, and enforcing rules with OpenAPI and static analysis tools.

Explore Python's challenges and potential improvements in performance, standard library, garbage collection, and core development, with insights on future directions and community initiatives.

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.

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.

Explore best practices for clean, maintainable Python code, including type hinting, docstrings, project structure, and effective unit testing strategies with pytest.

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.

Explore strategies to modernize Python code, eliminating Python 2 relics and preparing for future updates. Learn practical tips beyond automated tools for cleaner, more maintainable projects.

Explore Kubernetes concepts through deploying a Django application, gaining confidence in understanding and discussing this popular container orchestration platform.

Explore integrating machine learning into ARKit apps using CoreML and Turi Create. Learn to enhance AR experiences with custom ML models and unlock hidden features for improved quality.

Explore Swift's potential beyond screens: Learn to power Raspberry Pi and embedded systems, opening new possibilities for IoT and connected devices.

Explore Swift's encoding and decoding protocols, understand JSONEncoder internals, and learn to customize data serialization for your types in this deep dive presentation.