Programming With Abl
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Programming with ABL
"Programming with ABL" "Programming with ABL" is the definitive guide for software professionals and enterprise developers seeking mastery of the Advanced Business Language (ABL) ecosystem. The book expertly navigates the evolution of ABL, from foundational principles and language architecture to its modern development environments and toolchains. Comprehensive coverage spans from fundamental data handling constructs, such as buffers, records, and advanced query mechanisms, to enterprise-critical concepts like transaction management, concurrency, and data serialization. Readers gain deep insights into procedural, modular, and object-oriented programming patterns, emphasizing robust code structure, maintainability, and testability. With thoughtful exposition, the text explores the breadth of user interface development using ABL, including practical strategies for implementing rich forms, custom controls, and integrating enterprise UI patterns such as MVC and MVVM. Integration and interoperability are thoroughly addressed, equipping readers to build, consume, and secure APIs, interface with external libraries across platforms, and leverage advanced messaging, batch processing, and compliance-driven security considerations. Quality assurance is foregrounded, with rigorous methodologies for automated testing, debugging, code profiling, and process automation in large-scale, distributed deployments. The book’s final chapters look toward the future, examining the influence of domain-driven design, event sourcing, and reactive architectures on ABL development, while also embracing cloud-native, serverless, AI/ML, and IoT paradigms. Through real-world case studies and best practice guidelines, "Programming with ABL" not only imparts technical expertise, but also empowers readers to architect resilient, secure, and innovative business solutions using ABL in a rapidly evolving technological landscape.
Genetic Programming Theory and Practice XIX
This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year ́s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research.
NAND Flash Memory Technologies
Offers a comprehensive overview of NAND flash memories, with insights into NAND history, technology, challenges, evolutions, and perspectives Describes new program disturb issues, data retention, power consumption, and possible solutions for the challenges of 3D NAND flash memory Written by an authority in NAND flash memory technology, with over 25 years’ experience