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Original edition written by Rick Copeland alone.

Myers Jason: Essential SQLAlchemy, 2e

Essential SQLAlchemy, 2e

Analytics Science to Improve the World

Insight-Driven Problem Solving

Cambridge Tracts in Theoretical Computer Science

Petri nets are one of the most popular tools for modeling distributed systems. This book provides a modern look at the theory behind them, by studying three classes of nets that model (i) sequential systems, (ii) non-communicating parallel systems, and (iii) communicating parallel systems. A decidable and causality respecting behavioral equivalence is presented for each class, followed by a modal logic characterization for each equivalence. The author then introduces a suitable process algebra for the corresponding class of nets and proves that the behavioral equivalence proposed for each class is a congruence for the operator of the corresponding process algebra. Finally, an axiomatization of the behavioral congruence is proposed. The theory is introduced step by step, with ordinary-language explanations and examples provided throughout, to remain accessible to readers without specialized training in concurrency theory or formal logic. Exercises with solutions solidify understanding, and the final chapter hints at extensions of the theory.

Syntax and Semantics of Petri Nets

This book provides a comprehensive overview of data security and privacy protection with expert systematic coverage of related topics. It starts with the design of system architecture and key controls under the scope and objectives of data security. Then based on an in-depth analysis of data security risks and challenges, it provides the principles for the regulatory requirements for privacy protection, and implementation, as well as industry best practices.

Moving onto applications in networks, this book expounds on the data security of information technology (IT), telecommunications, the Cloud, and the Internet of Things (IoT). Emerging technologies such as artificial intelligence (AI), blockchain and 5G are in turn examined as the frontier of theoretical and technical development in data security.

This work is a culmination of the author's more than 20 years of experience in the field of cybersecurity and data security. As the chief cybersecurity architect of a large Forbes 500 company, he possesses a comprehensive knowledge of cybersecurity theory enriched by diverse practical experience.

This book is a useful textbook for students of cyberspace security, computer, and information technology majors in colleges and universities. It is also suitable as a reference for practitioners and engineers in information security, cloud computing, and similar disciplines.

Data Security And Privacy Protection: A Comprehensive Guide

Advanced Topics in Biomaterials

Signal Processing Roadmap: Technologies, Applications, and Future Directions explores cutting-edge and emerging signal-processing techniques across various measurement and monitoring applications, serving as an authoritative reference for engineers, researchers, and technologists. It critically analyses key signal processing considerations like uncertainty modelling that enable more intelligent and reliable next-generation measurement systems, backed by real-world implementation examples in areas ranging from Internet of Things devices to complex biomedical equipment. The book will provide an overview of the latest research in the hybrid information system modelling field, with a particular emphasis on practical applications in various fields. This includes case studies and examples of how these models have been used to solve problems in finance, healthcare, engineering, and other related fields. Additionally, the book reviews the theories and concepts related to non-linear optimization, fuzzy sets, and rough sets. Overall, Signal Processing Roadmap: Technologies, Applications, and Future Directions deals with the dual goals of consolidating the state-of-the-art and charting the future directions across the exciting applications where signal processing will continue playing a pivotal role in building intelligent, reliable, and efficient systems of the future.

Technologies, Applications, and Future Directions

Signal Processing Roadmap

Learn dozens of tried-and-true strategies to find and fix coding mistakes with this efficient debugging guide that slashes the time required for this tedious task. Most programmers dread debugging, but it remains a critical skill and one often learned through trial and error. This book offers a shortcut, distilling the experience of top-tier game designer Johannes Kuhlmann – who has worked on popular games like Valheim and Saints Row – into clear, practical strategies for debugging complex software in record time. This book offers more than 25 reliable strategies to tackle bugs at every level of development, helping to ensure that quality products go to market on schedule. Each chapter blends technical advice with instructive examples from the author’s own career, offering widely applicable, language-agnostic techniques from which both novice programmers and seasoned developers will benefit. The Debugging Handbook is not just a manual to reach for time and again but a mentor, helping programmers develop the mindset to quickly squash any bug.

The Debugging Handbook

Data is critical to ensuring the success of any business. A strong data governance programme can help any organization ensure that its data is high-quality, secure and accessible.

Effective Data Governance is a step-by-step guide for mid to senior data professionals to design a simplified data governance programme that meet the needs of their organization. Covering all of the processes, roles, standards and metrics to ensure the effective and efficient use of data within an organization, data governance is essential for every business. Beginning with an explanation of the importance of data governance and its challenges, this book covers how to plan your data governance approach, build a data governance framework and write a tailored data governance policy.

This book also describes how to setup and identify the key roles and responsibilities connected to data in an organization. It shows you how to identify the right process, resolve data quality issues, manage data risk and controls and track your progress. With real-world examples on how to implement the right type of data governance programme, this actionable guide is the key to the successful use of data.

Design a Framework that Works for Your Organization

Effective Data Governance

Advances in Computational Collective Intelligence

The book is a systematic discussion on the many areas employing crowdsourcing as an essential part of social innovation. It fosters theoretical, methodological, well-established and validated empirical work concerning social media and crowdsourcing. Additional focus is on experimental and applied topics.

Application and Analytics

Social Media and Crowdsourcing

Today's software applications need more than a friendly interface and correct algorithms. They also need to be responsible: to be beneficial for society and not cause harm. In an era of AI chatbots, deep fake images and videos, social media bubbles, expanding privacy regulations, and a rapidly warming planet, it's more important than ever to practice responsible software engineering so your products earn your users' trust and deserve it. Responsible Software Engineering can help you build better applications that are more ready for real-world situations: <ul> <li>Treating people more fairly, regardless of their beliefs, gender, culture, skin tone, and other attributes </li><li>Operating more safely, to reduce the risk of physical, psychological, or financial harm </li><li>Better protecting people's privacy, particularly when collecting personal information </li><li>Incorporating wisdom from the social sciences, law, ethics, and other fields that many engineers may be unfamiliar with </li><li>Reducing emissions of carbon dioxide (CO2), to address the risks of climate change </li></ul> Join Daniel J. Barrett, a senior manager at Google and long-time software engineer, to dive into these issues and more, including real-world, large-scale case studies. You'll receive expert advice on how to anticipate the effects of your application on the world and its inhabitants, so you can have more confidence that your products "do the right thing."

With Real-World Case Studies from Google

Responsible Software Engineering

Oxford Biology Primers

This primer introduces the elements that distinguish well-written computer code, covering style, clarity, technique, and robustness, to support readers in improving their coding skills. It explains why some approaches are better than others, and shows how good code prevents scientific errors and increases the reproducibility of research.

Good Coding Practice for Science

Big Data Analytics in Agriculture: Algorithms and Applications focuses on quantitative and qualitative assessment using state-of-the-art technology to provide practical improvements to agricultural production. The book provides a complete mapping-from data generation to storage to curation, processing and implementation/application-to produce high-quality reliable information for decision-making. It follows a logical pathway to demonstrate how data contributes to a converging flow of information towards a decision support system and how it can be transformed into actionable steps. The book develops ideas surrounding a strong integration of ICT and IoT to manage rural assets to deliver improved economic and environmental performance in a spatially and temporarily variable environment.

Algorithms and Applications

Big Data Analytics in Agriculture

Essential SQLAlchemy, 2e

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