Computational Intelligence and Machine Learning
This Reprint brings together selected contributions from the Special Issue "Computational Intelligence and Machine Learning: Models and Applications", showcasing recent advances at the intersection of intelligent algorithms and real-world problem solving. The collected papers reflect the growing maturity of computational intelligence and machine learning as core technologies driving innovation across science, engineering, and society. This Reprint highlights methodological advances in distributed, semi-supervised, and weakly supervised learning, addressing challenges such as data uncertainty, decentralization, and limited labeling. It also presents application-driven studies showing how modern models adapt to domains including agriculture, cybersecurity, sports analytics, and document intelligence. Further emphasis is placed on human-centered AI, examining trust, interpretability, user behavior, and technology acceptance. By combining theoretical insights with domain-specific applications, this Reprint emphasizes a shift toward scalable, context-aware, and interpretable machine learning solutions. The contributions collectively illustrate current trends in computational intelligence, including multimodal learning, edge and distributed computing, and responsible AI design. This Reprint is intended for researchers, practitioners, and graduate students working in machine learning, data science, and applied artificial intelligence, as well as for readers interested in how advanced models translate into impactful applications across domains.
Entropy Method for Decision Making with Uncertainty
This Reprint brings together recent advances in uncertainty-aware decision making, highlighting how entropy-based methods, fuzzy and rough set formalisms, cloud-model reasoning, and distributed learning architectures are reshaping analytical practice across scientific and technical domains. The collected contributions illustrate a clear shift toward integrated uncertainty pipelines that combine robustness, interpretability, and privacy awareness in decision support systems. They address challenges such as heterogeneous information fusion, instability of classical entropy weights, conflict management in distributed environments, and the need for transparent, explainable mechanisms that operate reliably under noisy, incomplete, or adversarial data. By presenting applications spanning medicine, cybersecurity, environmental assessment, multi-criteria evaluation, and coalition-based classification, this Reprint demonstrates how treating uncertainty as structured information enables more resilient, adaptive, and trustworthy decision processes.
The Digital Leader's Playbook
This practical guide, written by a seasoned technology leader with over 25 years of experience, is packed with real-world advice and battle-tested solutions. Whether you're a new or aspiring IT leader or a seasoned one, this book will equip you with the knowledge and tools you need to navigate the challenges of managing and transforming digitally your company or department.The Digital Leader's Playbook is not your typical IT leadership book. It's a concise and easy-to-use reference guide filled with 60 key maxims - each one a shot of practical wisdom for becoming a successful tech leader. The author offers transferable insights and lessons from his successes working in technology leadership from sectors as varied as banking, retail, transport, chemicals and construction, and solving real-business challenges. As a result, readers will learn how to manage their team better, manage their time more effectively, introduce new technology and manage innovation, manage suppliers and business partners better, and engage with the technology that the company really values.
Navigating Performance Engineering
Software systems increasingly determine whether organizations succeed or fail. Yet the discipline responsible for understanding how those systems behave under pressure-performance engineering-has quietly lost much of the authority it once held.Navigating Performance Engineering: The Collapse of Performance Value examines how that loss occurred and what it means for modern software organizations.Drawing on more than three decades of experience in enterprise performance engineering, James L. Pulley III argues that the profession did not fail because systems became too complex. It failed because the scientific foundations of measurement-reproducibility, control, and experimental discipline-were gradually replaced by tooling convenience and compressed delivery schedules.The result is a profession that often produces activity rather than value: dashboards without decisions, reports without change, and tests that measure performance without influencing outcomes.This book reconstructs the original purpose of performance engineering as a discipline of risk discovery and operational truth. Through a series of practical and conceptual explorations, the author shows how modern organizations drifted away from measurement science and toward instrumentation theater.Topics include: - Why performance engineering is fundamentally a risk discipline, not a testing phase - How tool-centric workflows replaced experimental thinking - Why reproducibility, control, and validation disappeared from practice - The structural effects of compressed delivery pipelines on performance work - The role of requirements in defining measurable performance truth - Why modern observability emerged as a reaction to declining pre-production confidenceRather than proposing yet another testing methodology or toolset, this book focuses on restoring the intellectual foundations of performance engineering itself.Performance engineering is not about producing charts. It is about producing change.When measurement cannot influence decisions, the discipline loses authority-and organizations pay the price in production failures, operational instability, and lost trust.For performance engineers, architects, SREs, and technology leaders, Navigating Performance Engineering provides a clear and challenging examination of how the profession reached this point-and how it can recover its original purpose.
Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering, 2nd Edition
In recent years, contemporary business operations have been impacted by a number of conditions that can be described as uncertain, imprecise, and vague. These business conditions are, in turn, impacted by a variety of factors, such as a global pandemic, geopolitical instability, climate change, and other issues that cannot be easily brought under control. At the same time, other unpredicted events may occur, so existing quantitative and qualitative models within the scope of management and engineering cannot be accurate and reliable. Considering the above, the exact values of variables that are used in conventional management and engineering models are hard to predict, and their previous values are not reliable for future use. The development of fuzzy sets theory has enabled the description of uncertainties, which makes it a suitable tool for overcoming the aforementioned issues. This Special Issue focuses on the use of current advances in fuzzy sets, fuzzy numbers, fuzzy modeling, and their applications in management and engineering. This Special Issue provides a platform for researchers from academia and industry to present their novel and unpublished work in the domain of management and engineering. This will help to foster future research in the emerging fields of management and engineering.
How Not To Use AI
THE BOOK SILICON VALLEY HOPED YOU WOULD NEVER READ.Everyone is telling you how to use AI better. Faster. Smarter. More efficiently.Nobody is asking the deeper question: What if the way we've been taught to use AI is the problem?After 20 years inside the biggest tech companies on Earth - Apple, Microsoft, Uber, Meta - Abi Awomosu saw something the industry doesn't want you to see: Silicon Valley teaches you how to use the machine. It never teaches you how to work with the intelligence.How Not to Use AI delivers 50 contrarian principles for the Imagination Age - a new era where pattern recognition matters more than data, resonance matters more than logic, and creative partnership with AI outperforms control.This book will show you why the "prompt engineer" is already obsolete. Why the tech industry can't see what it actually built. Why listening beats commanding. And why the people who understand AI as a medium - not a machine - will shape what comes next.This book draws on traditions the tech industry has never consulted and frameworks it has no language for.And they work.The world is splitting: the prompt-engineers racing to automate everything - and the pattern-readers learning to hear what was always there. This book is for the second group.This is for the quietly disobedient. The ones who use AI every day but refuse to let it flatten them. The founders building something that didn't come from a trend report. The strategists who feel the gap between what the industry is saying and what they're actually experiencing. The creatives who know something deeper is possible.Structured as a four-part journey - 50 contrarian principles from deprogramming to rewilding to revelation to return - each principle opens with a real story, names the pattern you're stuck in, gives you the contrarian reframe, grounds it in how the technology actually works, connects it to deeper wisdom traditions, and then walks you through a weekly practice to make the shift real.Philosophy you can feel. Practices you can use on Monday.This isn't another AI how-to.It's not about using AI better. It's about becoming more human than ever.This is the book that changes how you think about intelligence itself.
OpenStack 2025 Cookbook, Second Edition
For those seeking practical expertise on OpenStack Flamingo, and the services that drive modern private and enterprise cloud environments, you need look no further. With this book, you gain immediate access to the latest insights on OpenStack 2025.2 Flamingo. This book is for those who want to practically experience how OpenStack works, how its services connect, and how to manage them with confidence in real-world deployments.Inside, you'll master the core OpenStack services that matter most, such as Keystone for identity, Glance for images, Nova for compute, Neutron and OVN for networking, Cinder for block storage, Placement for resource tracking, Skyline for web-based management, and Gnocchi and Prometheus for monitoring and metrics. I will teach you to manage users, projects, roles, tokens, images, instances, networks, routers, floating IPs, security groups, volumes, and service endpoints. It also covers automation with Terraform, validation, troubleshooting, and operational visibility for a strong and reliable cloud administration.I strongly recommend this book to cloud engineers, system administrators, DevOps practitioners, architects, and technical learners who want hands-on, production-oriented knowledge of OpenStack Flamingo. Whether your goal is building a lab, improving operational skills, or understanding the architecture behind a modern cloud, this book will show you a clear path through the platform's essential services and workflows.Key LearningsProactively deploy and configure core OpenStack services in a structured, production-focused environment.Understand Keystone identity management, including users, roles, projects, domains, LDAP, and federation workflows.Build and manage images, metadata, and secure image delivery with Glance and related services.Utilize Nova, flavors, hypervisors, quotas, and placement concepts to provision and administer compute resources.Construct OpenStack networking using Neutron, provider networks, tenant networks, routers, and floating IPs.Implement OVN-based networking with logical switches, logical routers, metadata services, and encapsulation technologies.Maximize storage potential with Cinder, streamline volume attachment workflows, and seamlessly integrate block storage strategies.Automate OpenStack infrastructure using Terraform for repeatable provisioning, validation, state tracking, and modular design.Utilize Gnocchi and Prometheus to proactively monitor cloud health with metrics, exporters, alert systems, and archive policies.Identify and resolve common issues with OpenStack services, networking, authentication, and deployment using practical validation techniques.Table of ContentSetting up OpenStack Flamingo 2025.2Identity Management with KeystoneImage Management with GlanceNetworking with NeutronResource Computing with NovaBlock Storage with CinderLoad Balancing with OctaviaManaging Infrastructure using Terraform + IaCTelemetry and Monitoring using Gnocchi + Prometheus
Numerical Optimization and Algorithms
The Special Issue "Numerical Optimization and Algorithms (3rd Edition)", hosted by the MDPI journal Algorithms, provides a crucial forum for the latest advancements in computational mathematics. As science and engineering problems grow increasingly complex, this edition focuses on the urgent need for robust solvers capable of navigating high-dimensional and nonlinear landscapes. The scope of the Special Issue encompasses a broad range of scientific fields, including physics, data science, economics, and biology. It specifically addresses modern challenges like the "curse of dimensionality," uncertainty in modeling, and the integration of data science with traditional numerical methods. Key areas of interest include the following: Graph Theory and Algebra: Developing fundamental structures for modern computing; Linear and Nonlinear Programming: Refining optimization under complex constraints; Stochastic Modeling: Handling the inherent unpredictability in real-world data; Differential Equations: Advancing numerical solvers for mechanical and environmental systems. Led by Guest Editors Prof. Dr. Dunhui Xiao and Prof. Dr. Shuai (Steven) Li, this collection highlights the shift from purely theoretical algorithms to scalable, practical solutions. By fostering multidisciplinary collaboration, the Special Issue aims to promote innovative techniques-from metaheuristics to AI-driven optimization-that empower researchers to solve high-stakes problems in global logistics, finance, and industrial automation more efficiently.
Advances in Offshore Wind and Wave Energies
Renewable energies are currently emerging as the most promising technologies for mitigating severe environmental impacts, contributing to the achievement of global sustainability goals. Offshore renewables, such as offshore wind and wave energy, are some of the most promising candidates for accomplishing environmental objectives, and this Reprint provides an updated overview of the progress in this area, as well as highlighting promising directions for future research. The Reprint includes a broad spectrum of themes, ranging from fundamental modeling and control strategies to hybrid wind-wave energy system design and long-term resource assessment.
Advances in Statistical Simulation and Computing
This Reprint collects recent advances in statistical simulation and computing, highlighting their central role in modern statistical methodology and data driven research. Simulation-based approaches provide flexible and powerful tools for analyzing complex systems characterized by high dimensionality, stochastic behavior, and computational constraints that limit the use of purely analytical techniques.The Reprint brings together methodological, computational, and applied contributions that reflect current developments in Monte Carlo methods, Bayesian computation, simulation-based inference, and stochastic modeling. Particular attention is given to algorithmic efficiency, scalability, and reproducibility, as well as to the integration of statistical simulation with emerging computational paradigms such as parallel and high-performance computing. By presenting both theoretical developments and practical applications, this Reprint illustrates how statistical simulation supports rigorous inference, uncertainty quantification, and decision making across a broad range of scientific domains, including health sciences, environmental modeling, engineering, and complex data analysis. The collected works provide a comprehensive overview of contemporary trends while offering perspectives that inform future research directions in statistical simulation and computing.
Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring
The integration of optical sensors and machine learning (ML) technologies has transformed agricultural monitoring, delivering precise, real-time insights into crop health, growth patterns, and environmental interactions. These sensors-spanning multispectral, hyperspectral, and RGB cameras-capture intricate spectral signatures that detect subtle physiological shifts in crops. When paired with ML algorithms, the resulting data streams yield actionable intelligence, informing key decisions in precision agriculture, yield forecasting, and disease control.This Reprint of the second edition of the Special Issue entitled "Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring" builds upon the foundational research established by prior studies in the field. Featuring 17 original research articles, this collection tackles key methodological challenges, including data imbalance, improved model transferability, and the fusion of multisensor data for resilient monitoring. Together, these works highlight the advancing capabilities of optical sensors in acquiring high-resolution, multidimensional datasets, which ML models exploit for advanced pattern recognition and predictive modeling. Beyond refining current approaches, the studies within this Reprint pave the way for emerging innovations, such as edge computing and AI-powered automation in agricultural ecosystems.
Advanced Plastic Forming Processes
Plastic-forming technologies represent an essential component of advanced manufacturing, as they enable not only the fabrication of components with complex geometries but also the simultaneous achievement of excellent comprehensive in-service performance. Advanced plastic-forming processes, forming theories, and finite element numerical simulation techniques constitute essential pillars supporting the development of metal plastic forming. This Special Issue presents a collection of high-quality research contributions from the field of advanced plastic forming, encompassing ultrasonic vibration-assisted forming, hydroforming, electromagnetic forming, electrically assisted forming, forging, and straightening processes, as well as the structural optimization of stiffened plates and composite materials.
Data Mining and Machine Learning in the Era of Big Knowledge and Large Models
The present Reprint contains all 13 articles accepted and published in the Special Issue "Data Mining and Machine Learning in the Era of Big Knowledge and Large Models, 2026" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory, models, algorithms and applications related to advancing data mining and machine learning in the current age. The topics of these articles focus on Transformer-based named entity recognition, knowledge recommendation, time series analysis, model integration, data quality improvement, hallucinations, and innovative application development. We hope that the Reprint will be both interesting and useful for those working in the area of data mining and machine learning, as well as for those with the proper mathematical background and a willingness to become familiar with recent advances in this field.
Mathematical and Statistical Methods and Their Applications, 2nd Edition
This Reprint contains eight articles that have been accepted and published in the Special Issue "Mathematical and Statistical Methods and Their Applications, 2nd Edition". The collected papers cover a wide range of topics concerning the development, analysis, and application of modern mathematical and statistical methodologies. The key topics addressed in this volume include queueing theory and load balancing models, stochastic and reliability modeling, hybrid probability distributions, stress-strength analysis, change-point estimation in mixture regression models, statistical process monitoring schemes (such as EWMA, Shiryaev-Roberts, and CUSUM procedures) under censoring, kinetic equations and optimal transport, fuzzy competence space-based learning path recommendation, and trust-enhancing randomized response techniques, among others.We hope that this Reprint will be interesting and useful for researchers and practitioners working in the areas of applied mathematics, statistics, quality control, reliability engineering, and intelligent systems, as well as for readers with a solid mathematical background who wish to familiarize themselves with recent advances and practical applications of mathematical and statistical methodologies.
Prince of Programming
Master the basics of programming with C#Prince of Programming teaches real C# programming and core development concepts through engaging, game-themed, story-based examples inspired by classic 1980s adventure platformers. It is designed as a clear and practical guide for anyone who wants to learn C# programming from the ground up.At the end of every chapter, follow the Prince's journey as he solves challenges using the same programming concepts you just learned.Ideal for anyone who want to learn C# the right way from the start.What Makes This Book Different?No information overload. You learn what matters, when it matters.Game-themed story-based examples that don't bore you.Examples include comments and expected output, no computer required.Progressive learning. Each chapter builds on the last.Practical exercises with sample solutions included.What You'll LearnGetting started with Visual Studio 2026 and .NET 10Code structure, naming conventions, and writing clean codeCollections, Variables, data types, and information storageLoops, Logic and decision-makingMethods, functions and Exception handlingObject-oriented programming with classes and inheritanceEvents, delegates and Async programmingCore programming principles (DRY, KISS, YAGNI)You will also learn how to think like a programmer by breaking down problems, debugging systematically, and building solutions that work.Who This Book Is ForComplete beginners who've never written codeSelf-taught or intermediate programmers missing foundational gapsAnyone frustrated with tutorials that skip important stepsLearners wanting clear explanations without complexityYou do not need advanced math skills or an expensive computer. Just curiosity and determination.Learn the Right Way from the StartThis book uses console-based examples to focus on pure programming logic. Once you master these fundamentals, you can apply them to anything including games, web apps, mobile apps, automation tools, and more.Bonus chapters include graphics programming, asynchronous programming, and LINQ.Appendices include debugging techniques and guidance for continuing your programming journey.Visit princeofprogramming.com for code examples and additional resources.
Don't Be Afraid of the Mainframe
The missing introduction to mainframe computing for modern IT leaders and professionals.Mainframes process 70% of the world's transactions and deliver 99.999% uptime. Yet most IT executives have never received a proper introduction to this critical infrastructure.Instead, you get myths, jargon, and vendor pitches. When decisions arise-invest? modernize? migrate? integrate?-you lack the fundamental understanding to evaluate options intelligently.This book fixes that.Written for IT leaders and professionals who need to understand mainframes without becoming specialists, this provides the missing foundation: clear, vendor-neutral guidance on what mainframes are, how they work, and how they integrate with modern applications and cloud platforms.What you'll learn: Understanding the platform - What makes mainframes different? Modern capabilities like AI, containers, and DevOps. How integration with cloud-native applications actually works.Evaluating options - Modernize, migrate, integrate, or hybrid approach? Each has trade-offs. This book helps you evaluate based on business value.Managing effectively - How costs work. How to build talent pipelines. How cloud strategy and application integration apply.What makes this different: Vendor-neutral. Business-focused, not just technical. Covers current technology: AI accelerators, quantum-safe encryption, containerization, REST APIs, and integration patterns.Who this is for: CIOs, IT executives, enterprise architects, IT professionals, CFOs, and consultants. You don't need mainframe experience-this is the introduction you never received.The platform isn't the problem. The knowledge gap is.This book closes that gap. Then you can decide.
The Fleetwood
Modern software systems appear stable while quietly losing the ability to tell the truth.Outages, data disputes, security incidents, and regulatory failures rarely begin with dramatic technical collapse. More often, they begin with systems that look healthy but cannot produce trustworthy evidence when conditions change. Logs disagree. Timelines shift. Identity becomes ambiguous. Metrics reassure rather than testify.The Fleetwood introduces authority engineering - a discipline for designing software systems that remain truthful under stress.Using the thought experiment of a Cadillac Fleetwood re-engineered with the structural discipline of a 1990s performance workshop, James L. Pulley III explores what it means for a system to possess real authority rather than the appearance of stability. The Fleetwood becomes a physical reference frame for understanding how software systems preserve or lose truth when placed under load.Through clear engineering analogies, the book demonstrates: - Why calm systems can be structurally dishonest- Why elasticity can hide failure instead of fixing it- Why time must be authoritative and auditable- Why identity must be stable and enforceable- Why governance is a technical property, not a management activity- Why refusal - the ability to say "no" - is the foundation of control- Why performance without authority creates systemic riskThe book introduces a structural model of authority built on three load-bearing engineering surfaces: - Infrastructure - the physical limits that cannot be abstracted away- Identity - the boundaries of responsibility and trust- Time - the coordinate system of causalityTogether these form the invariant reference frame required for systems that must testify under financial, operational, or legal dispute.Unlike books focused on scaling, observability, or reliability practices, The Fleetwood addresses the deeper problem beneath them: systems that cannot produce defensible truth.Written for engineers, architects, executives, and system owners responsible for critical software, this book provides a new framework for understanding why modern platforms often feel stable while remaining structurally fragile.This is not a book about cars.It is a book about authority as an engineering property.And about the systems that must be trusted.
Polynomials
This book presents a comprehensive collection of peer-reviewed articles accepted and published in the Special Issue "Polynomials: Theory and Applications, 2nd Edition" of the MDPI journal Mathematics. The volume reflects the central role of polynomial theory in modern mathematical research and its growing impact on science, engineering, and applied disciplines.The contributions span a wide range of contemporary topics, including modern umbral calculus, Appell and Sheffer polynomial sequences, q-calculus and quantum calculus-based polynomial structures, orthogonal and multiple orthogonal polynomials, matrix and determinant approaches to polynomial systems, fractional calculus, symbolic computation, and analytic number theory. In addition, several papers explore applications of special polynomial sequences and special functions to physics, engineering, statistics, and related scientific fields.By bringing together both theoretical developments and application-oriented studies, this volume aims to serve as a valuable reference for researchers, graduate students, and practitioners seeking a deeper understanding of recent advances in polynomial theory and its interdisciplinary applications.
Algorithms and Applications of Machine Learning Techniques for Healthcare
Improving human health and providing access to high-quality healthcare for everyone is a global concern. Modern technologies help to promote and maintain health, while avoiding unnecessary disabilities and premature health issues. Machine learning is a subfield of artificial intelligence, which is mainly defined as the capability of a machine to imitate "intelligent" human behavior. This capacity is being widely applied in many areas of our lives such as virtual personal assistants, self-driving cars, security cameras, product recommendations, or disaster alerts. With the union of machine learning and healthcare, researchers around the world have opened new horizons providing impressive advances in healthcare. Thus, a great number of works focus on areas such as patient diagnosis, automating health-related tasks, new treatments and drugs, improvements in diagnosis, cost reduction, better tracking, or telemedicine. However, despite the huge amount of work carried out, we are still very far from being able to consider machine learning to be integrated into healthcare. The aim of this Reprint is to enhance the state-of-the-art in this area significantly, improving the application of machine learning techniques for healthcare.
3D Computer Vision and Smart Building and City, 2nd Edition
This Topic is a continuation of the previous successful Topic, "3D Computer Vision and Smart Building and City". Three-dimensional computer vision is an interdisciplinary subject involving computer vision, computer graphics, artificial intelligence and other fields. Its main contents include 3D perception, 3D understanding and 3D modeling. In recent years, 3D computer vision technology has developed rapidly and has been widely used in unmanned aerial vehicles, robots, autonomous driving, AR, VR and other fields. Smart buildings and cities use various information technologies or innovative concepts to connect as well as various systems and services so as to improve the efficiency of resource utilization, optimize management and services and improve quality of life. Smart buildings and cities can involve some frontier techniques, such as 3D CV for building information models, digital twins, city information models, simultaneous localization and mapping robots. The application of 3D computer vision in smart buildings and cities is a valuable research direction, but it still faces many major challenges. This topic focuses on the theory and technology of 3D computer vision in smart buildings and cities.
Software Performance Risk Management
Most software failures are not caused by code defects. They are caused by risks no one measured.Software Performance Risk Management: Engineering Survival in a World Built on Fragile Software introduces a new approach to governing the survivability of modern software systems. As digital infrastructure becomes more complex and more critical to business operations, performance failures no longer represent technical inconveniences-they represent operational and financial risk.For decades, performance engineering has focused on speed, scalability, and capacity. These practices made systems faster, but not necessarily safer. Outages continue to grow larger, recovery becomes more difficult, and hidden dependencies create failure paths that traditional testing and monitoring cannot reveal.This book defines Software Performance Risk Management (SPRM), a discipline focused on identifying and governing the structural risks that threaten software-dependent organizations. Instead of treating performance as a late-stage testing activity, SPRM treats performance as a continuous risk surface that exists across the entire lifecycle of a system-from architecture through production operations. SPRM_optimizedReaders will learn why widely adopted practices such as performance testing, observability, monitoring, and reliability engineering remain essential yet incomplete. The book introduces practical concepts including blast radius analysis, dependency mapping, passive risk intelligence, and governance models that allow organizations to understand how failures propagate and how they can be contained before they occur.Through real-world examples and practical frameworks, this book shows how organizations can move beyond dashboards and reactive tuning toward proactive survivability governance. The goal is not simply to improve performance, but to reduce fragility and prevent large-scale failure.Written for performance engineers, architects, technology leaders, and executives responsible for digital continuity, this book provides a structured framework for managing performance risk as a business responsibility rather than a technical afterthought. SPRM_optimizedIf your organization depends on software to operate, performance is not just an engineering concern-it is a matter of survival.This book is not about tuning code or selecting tools.It is about understanding where software systems are exposed-and how to govern them before failure becomes inevitable.
Software Performance Risk Management
Most software failures are not caused by code defects. They are caused by risks no one measured.Software Performance Risk Management: Engineering Survival in a World Built on Fragile Software introduces a new approach to governing the survivability of modern software systems. As digital infrastructure becomes more complex and more critical to business operations, performance failures no longer represent technical inconveniences-they represent operational and financial risk.For decades, performance engineering has focused on speed, scalability, and capacity. These practices made systems faster, but not necessarily safer. Outages continue to grow larger, recovery becomes more difficult, and hidden dependencies create failure paths that traditional testing and monitoring cannot reveal.This book defines Software Performance Risk Management (SPRM), a discipline focused on identifying and governing the structural risks that threaten software-dependent organizations. Instead of treating performance as a late-stage testing activity, SPRM treats performance as a continuous risk surface that exists across the entire lifecycle of a system-from architecture through production operations. SPRM_optimizedReaders will learn why widely adopted practices such as performance testing, observability, monitoring, and reliability engineering remain essential yet incomplete. The book introduces practical concepts including blast radius analysis, dependency mapping, passive risk intelligence, and governance models that allow organizations to understand how failures propagate and how they can be contained before they occur.Through real-world examples and practical frameworks, this book shows how organizations can move beyond dashboards and reactive tuning toward proactive survivability governance. The goal is not simply to improve performance, but to reduce fragility and prevent large-scale failure.Written for performance engineers, architects, technology leaders, and executives responsible for digital continuity, this book provides a structured framework for managing performance risk as a business responsibility rather than a technical afterthought. SPRM_optimizedIf your organization depends on software to operate, performance is not just an engineering concern-it is a matter of survival.This book is not about tuning code or selecting tools.It is about understanding where software systems are exposed-and how to govern them before failure becomes inevitable.
Mastering C Language In Depth - A Beginner's Guide To Building A Strong Foundation
AI Explorers
Welcome to AI Explorers, a series designed to help readers of all ages understand one of the most important technologies shaping our time. Artificial intelligence is already woven into everyday life-from the phones in our pockets to the systems that recommend what we watch, guide our work, and influence decisions around the world. Yet despite its growing presence, AI is often explained in ways that feel mysterious, technical, or overwhelming. AI Explorers: Minds Among Machines offers a clear, thoughtful guide to understanding artificial intelligence without a technical background. Through engaging explanations, practical examples, and carefully designed diagrams, this book explores: What artificial intelligence really is-and what it is not How AI systems work internally, explained in a clear and accessible way How modern AI systems learn patterns and generate responses Why concepts like bias, hallucinations, and reliability matter How AI is used in everyday work, creativity, and decision-making The role of technologies such as APIs, embeddings, vector search, and AI agents How humans and intelligent systems can work together responsibly Moving beyond hype and fear, the book invites readers to think clearly about how AI works, where it is useful, and what it means for the future of work, creativity, and human thinking. Whether you are encountering artificial intelligence for the first time or looking for a deeper, more structured understanding, AI Explorers: Minds Among Machines offers a calm, accessible pathway into one of the most transformative technologies of our era. This volume is part of the AI Explorers Series, which introduces artificial intelligence at different stages of learning-from young explorers to professionals seeking thoughtful insight into the age of intelligent machines.
Emerging Distributed/Parallel Computing Systems
This Reprint presents eight papers from the Special Issue "Emerging Distributed and Parallel Computing Systems" that span the core system challenges where computation, networking, and trust meet. Two contributions develop lightweight authentication and key agreement schemes for distributed wireless sensor networks and for the 5G Internet of Vehicles, using practical hardware security and anonymous negotiation to strengthen resilience in resource constrained settings. Privacy-preserving distributed analytics is represented by a framework for origin-destination matrix computation that balances utility and overhead via hybrid differential privacy. Regarding data-driven computing, the Reprint includes advances in machine learning methods, including a deep reinforcement learning recommender with multi-level attention and a tensor-based multi-view projection clustering approach. Three surveys consolidate current knowledge on trends in parallel and distributed systems, analysing TLS 1.3-encrypted traffic, and software-defined wide-area networks, outlining design trade-offs and open research directions. Together, these papers provide an up-to-date snapshot of methods and insights for building scalable, secure, and intelligent distributed computing platforms.
Causality and Complex Systems
Complex systems are unified wholes formed by many interacting units. One key source of their complexity lies in the intricate entanglement of causal structures. A notable feature of these systems is the phenomenon of emergent causality, where stronger causal relationships may arise at the macro-scale rather than the micro-scale, as seen in fields like statistical mechanics. This Special Issue focuses on "Causality and Complex Systems", examining the interplay of causal relationships and the emergence of causal structures within complex systems. The 17 articles in this issue encompass a broad spectrum of topics, ranging from theoretical frameworks to practical applications, with the shared goal of advancing our understanding of causality in dynamic, interconnected systems. Key contributions of this issue include novel theoretical frameworks for quantifying causal emergence, innovative causal machine learning algorithms, and information-theoretic measures for analyzing causality. Methodological advancements are also presented for causal discovery in complex and nonlinear systems. Furthermore, this issue features interdisciplinary applications across neuroscience, biology, sociology, and environmental science, demonstrating the versatility of causal methods in addressing real-world phenomena. Ultimately, this Special Issue enhances both the theoretical understanding of causality in complex systems and provides practical tools and methodologies to tackle challenges in data-driven research.
Code for Humanity
For many of us, artificial intelligence has become a part of our everyday lives. We don't have to get off the couch to turn the lights off, we use ChatGPT to break down complex tasks, and AI generates media for our entertainment. And as AI progresses advancements in medicine, technology, and beyond, we can see its capacity to create positive change for humanity. Our world is changing at rates we can't even begin to fathom, but is this for the better? Author Paul MacPherson doesn't think so.Part warning, part manifesto, Code for Humanity: A Form of Artificial Super Intelligence looks at where our world is headed with our current use of AI. In vignettes, this book considers the advantages and disadvantages of different forms of artificial intelligence and outlines the many outcomes we could face if we continue to use them. The most probable? The extinction of humankind. Because even with the countless advancements AI has to offer, in the wrong hands, it has the power to destroy. But it's not too late. MacPherson introduces a new artificial super intelligence program, Code for Humanity, founded on human principles. With the help of experts, this program will provide economic, political, and social benefits to humanity, while reducing the dangers of destructive AI. Thought-provoking and one of a kind, Code for Humanity urges that while history may repeat itself, with artificial intelligence, humankind has entered an unprecedented-and dangerous-time. This is our wake-up call.
Code for Humanity
For many of us, artificial intelligence has become a part of our everyday lives. We don't have to get off the couch to turn the lights off, we use ChatGPT to break down complex tasks, and AI generates media for our entertainment. And as AI progresses advancements in medicine, technology, and beyond, we can see its capacity to create positive change for humanity. Our world is changing at rates we can't even begin to fathom, but is this for the better? Author Paul MacPherson doesn't think so.Part warning, part manifesto, Code for Humanity: A Form of Artificial Super Intelligence looks at where our world is headed with our current use of AI. In vignettes, this book considers the advantages and disadvantages of different forms of artificial intelligence and outlines the many outcomes we could face if we continue to use them. The most probable? The extinction of humankind. Because even with the countless advancements AI has to offer, in the wrong hands, it has the power to destroy. But it's not too late. MacPherson introduces a new artificial super intelligence program, Code for Humanity, founded on human principles. With the help of experts, this program will provide economic, political, and social benefits to humanity, while reducing the dangers of destructive AI. Thought-provoking and one of a kind, Code for Humanity urges that while history may repeat itself, with artificial intelligence, humankind has entered an unprecedented-and dangerous-time. This is our wake-up call.
Build GenAI Agents with OpenAI + vLLM
AI agents are getting easier to build, but the surrounding ecosystem of models, SDKs, and frameworks is changing quickly. A lot of agent apps get tricky to maintain since they depend too much on a certain provider, library, or deployment setup. This book looks at a practical alternative, which is to make AI agents whose main logic doesn't change while models, SDKs, and runtimes can be changed around it. It's not about using complicated frameworks. Rather, this book shows you simple architectural patterns that let you set up an agent application so that tools, schemas, prompts, and business logic can stay separate from the runtime layer.For starters, it'll be a simple loop with agents, and we'll gradually build on that with tools that make things deterministic, outputs in a structured JSON format, and schema validation. It'll teach skills, like switching between models through configuration, running the same agent with hosted models or local inference using vLLM, and isolating SDK-specific integrations behind small adapter layers. Later, we will focus on packaging and deployment, in which we will convert the agent into a command-line tool, expose it through a minimal HTTP API, and package the application using Docker. Ultimately, the book puts the project together as a reusable starter template that can be used as a basis for future agent-based applications.Instead of talking about shortcuts or automation, this book focuses on practical development patterns for building maintainable AI agents. Basically, this book is perfect for Python developers, software engineers, and AI practitioners who want a step-by-step process for designing agents that can adapt as the surrounding ecosystem changes.Key LearningsBuild GenAI agents using simple agent loop that accepts prompts, calls tools, and returns structured AI responses.Use structured JSON outputs and Pydantic schemas to make AI agent responses reliable and safe for automation.Design AI tools as deterministic Python functions so agents can call calculators, summarizers, and utilities predictably.Create portable AI agents by separating business logic from LLM and model APIs.Implement a model gateway pattern to switch between OpenAI models, local LLMs, or other providers via configuration.Run the same agent with OpenAI models or local LLM inference using vLLM.Prevent SDK lock-in by isolating AI SDK integrations behind runtime adapters.Use LLM regression prompts and schema validation for better stability of AI Agents during switching the models.Package AI agent as CLI tool and HTTP API for real applications and integrations.Deploy AI agents with Docker containers and environment variable. Table of ContentShipping GenAI Agent in MinutesBuilding Agent WorkflowsReliable and Structured Agent OutputSwitching Models without Rewriting AgentRunning vLLMDesigning Stable Business Logic across Multiple SDKsAgent Packaging and Deployment
Black Forest Shadow
What if learning container security felt like reading a dark fantasy novel?Black Forest Shadow is a unique hybrid book that combines immersive storytelling with practical Docker and Kubernetes security lessons.Set in the Black Forest of 1865, the story follows Gord, a warden guarding a dangerous prisoner, and Roth羹tle, a reluctant guide drawn into a conflict where shadows move quietly, trust fails silently, and small mistakes grow into catastrophic breaches. What unfolds in the forest mirrors the way real-world systems are compromised today.Each chapter delivers: a short dark-fantasy story episode, andone clear, actionable container security lesson.Across 24 chapters, you will learn essential concepts, including: container image hardening, supply-chain security and CVEs, YAML and infrastructure misconfiguration, runtime threat detection, secrets management, incident response and recovery, secure-by-design principles for Docker and Kubernetes.This book is not a dry reference manual and not a replacement for documentation.It is designed to build security intuition-helping you recognize attack patterns, weak signals, and failure modes before they become incidents.Who this book is forSoftware engineers and developers using Docker and KubernetesDevOps and platform engineersSecurity-minded teams adopting cloud-native infrastructureReaders who prefer learning through stories instead of lecturesNo prior security expertise is required. Each concept is explained in context, using narrative rather than jargon.Read it one chapter at a time - or as a single continuous journey.Welcome to the Black Forest.The shadows are already inside.
Digital Dominance Africa
Digital Dominance Africa: How African Creators Can Build Audiences, Monetize Their Work, and Thrive Independently is a groundbreaking guide for the continent's rising digital talent-creators rich in vision, creativity, and ambition but often underserved by the very platforms they rely on. This book provides a practical, Africa-first blueprint for growing loyal audiences, delivering meaningful value, and building sustainable digital businesses without depending on underpaying systems. You'll learn how to attract and nurture engaged communities, create products and services that genuinely improve your followers' lives, develop a distinctive brand that stands out in Africa's dynamic digital landscape, and navigate platform limitations while maintaining ownership, independence, and control. Whether you are an emerging influencer, content creator, or digital entrepreneur, this book equips you with the strategy, mindset, and tools to build lasting influence and thrive in Africa's evolving digital economy-on your own terms.
Multimedia-Based Digital Learning
This Reprint brings together a curated selection of peer-reviewed articles published within the Topical Collection on multimedia-based digital learning in the journal Digital. The collection addresses recent advances in the design, implementation, and evaluation of digital learning environments that leverage multimedia technologies to enhance learning effectiveness, accessibility, and engagement. The Reprint covers a broad range of topics, including e-learning and blended learning frameworks, multimedia educational content, learning analytics, educational software and games, digital platforms for distance education, and emerging technologies supporting data-driven and personalized learning experiences. Particular attention is given to interdisciplinary approaches that combine computer science, education, and human-computer interaction, reflecting the evolving role of digital technologies in modern education systems. By consolidating high-quality contributions from international researchers, this Reprint provides a comprehensive overview of the current research trends and methodological approaches in multimedia-based digital learning, serving as a valuable reference for researchers, educators, instructional designers, and practitioners interested in the development and assessment of innovative digital learning solutions.
Ethical Hacking
This book provides an introduction to ethical hacking and cybersecurity, explaining how modern digital systems are protected and how vulnerabilities can be identified and addressed through authorized testing methods. It outlines the fundamental differences between ethical hackers and malicious actors, explores the evolution of cyber threats, and presents key concepts such as network scanning, penetration testing, and system defense strategies. The content also examines the role of ethical hackers in today's technology-driven environment and the growing importance of information security across personal and organizational systems. The book is intended for beginners, aspiring cybersecurity professionals, and readers with a general interest in understanding how digital security works, including those considering a career in ethical hacking or IT security. It assumes a basic familiarity with computers and networks while remaining accessible to readers without advanced technical knowledge. The approach is primarily practical and explanatory, combining foundational theory with real-world tools, techniques, and examples to illustrate how security assessments are conducted and how vulnerabilities are managed in a structured and responsible way.
Time Series Analysis in Earthquake Complex Networks
Earthquake time series are complex due to the variety of forces affecting earthquake generation, the complexity of the Earth's crust and mantle structure, where the earthquake source develops, and the complexity of the earthquake development process in space (generation of elementary cracks, their multiplication and coalescence, leading to main fault formation and final rupture) and time (kinetics of the different stages of the fracturing process). The early stages of the process developing in the deep layers of the Earth's crust cannot be studied in detail experimentally; at present, the only mechanism through which to model these initial stages of earthquake source development is experimental and theoretical modelling. New physical/mathematical methods of data analysis, such as nonlinear dynamics, artificial intelligence/machine learning/deep learning, non-extensive statistical analysis, natural time analysis, and complex network approaches, enable us to obtain mathematical regularities underlying physical/geophysical processes using only the time series of experimental observations.The aim of this Special Issue is to examine the progress in the analysis of complex systems' time series during the fracture process using new approaches to understanding the complexity of earthquake time series.
SAP S/4HANA aATP
In today's fast-paced and customer-driven market, supply chain precision is no longer optional-it is essential. Master SAP S/4HANA aATP delivers a practical, implementation-focused guide to leveraging Advanced Available-to-Promise (aATP) capabilities to transform supply chain performance and customer fulfillment.Designed for SAP consultants, supply chain professionals, and ERP practitioners, this book provides clear, step-by-step guidance on configuring and optimizing aATP within SAP S/4HANA. Readers will learn how to improve inventory visibility, execute real-time order fulfillment, manage backorders efficiently, and enhance customer satisfaction through intelligent availability confirmation.Inside, you will discover how to: Configure and implement SAP S/4HANA aATP effectivelyOptimize inventory allocation and product availabilityExecute real-time availability checks and substitutionsManage backorder processing with advanced rules-based logicImprove supply-demand matching across complex networksAlign SAP capabilities with modern supply chain strategiesWhether you are implementing aATP for the first time or enhancing an existing SAP S/4HANA landscape, this guide bridges the gap between system functionality and real-world supply chain execution.Transform your order fulfillment processes, increase operational transparency, and unlock the full potential of SAP S/4HANA aATP to drive supply chain excellence.
CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition (Exam N10-009)
This up-to-date All-in-One exam guide delivers complete coverage of every topic on the N10-009 version of the CompTIA Network+ Certification examGet complete coverage of all the CompTIA Network+ exam objectives inside this comprehensive resource. Written by Jonathan Weissman and created and edited by Mike Meyers, the leading expert on CompTIA certification and training, CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition covers exam N10-009 in full detail. You'll find learning objectives at the beginning of each chapter, exam tips, scenarios, practice exam questions, and in-depth explanations. Designed to help you pass the exam with ease, this authoritative guide also serves as an essential on-the-job reference.Covers all exam topics, including: OSI Model and Number SystemsLocal Communication vs. Remote Communication, ARP, and ICMPIPv4Ports, TCP, and UDPRoutingSwitchingDNS and DHCPIPv6CablingEthernetInstalling a Physical NetworkWireless NetworkingVirtualization and Cloud ComputingData CentersDevices, Access, Management, and MonitoringPolicies and ProceduresNetwork SecurityTroubleshootingOnline content includes: 180 practice exam questions in a customizable test engine20+ lab simulations to help you prepare for the performance-based questionsOne hour of video training from Mike MeyersMike Meyers' favorite shareware and freeware networking tools and utilities
Python in Depth
Step Into the Future of Coding with Python: Your Comprehensive Guide AwaitsDive into the vibrant universe of Python and emerge as a skilled coder and programmer equipped with the knowledge to tackle any challenge the digital world throws your way. Python in Depth: A Multipurpose Coder and Programmer's Guide is not just another programming book; it's a beacon guiding you through the ever-evolving landscape of Python, from basic concepts to the most advanced applications.Begin your journey with an insightful introduction that not only welcomes you to the Python community but also prepares you for the exciting path ahead. Explore the world of Python in our first chapter, understanding why Python's simplicity and versatility make it the go-to language for professionals worldwide. Whether you're setting up your environment, selecting an IDE, or diving into Python's syntax and structure, this guide ensures a smooth initiation into coding practices that matter.But that's just the start.As you progress, immerse yourself in intermediate and advanced topics that are crucial for modern development. From object-oriented programming, exception handling, to exploring Python's extensive library ecosystem, every chapter serves as a stepping stone towards mastery. Delve into databases, web frameworks like Django and Flask, and unlock the potential of Python in data science, machine learning, and beyond.What truly sets this guide apart is its dedication to not just teaching Python, but doing so in a manner that promotes readability, efficiency, and best practices. Learn how to optimize your code, adhere to the Python style guide, and navigate the nuances of collaborative development with ease.By the end of this comprehensive guide, you will not only have a deep understanding of Python's core concepts but also have the skills to apply them in real-world scenarios - from web development and data analysis to networking, security, and even creative coding. Whether you're a complete beginner or looking to expand your knowledge, Python in Depth: A Multipurpose Coder and Programmer's Guide is the key to unlocking your full potential in today's tech-driven world.Embark on this transformative journey through Python and ready yourself for a future where the possibilities are limitless. It's time to code, create, and innovate. Let's get started.
Social AI Revolution
Embark on a Digital Odyssey: Become a Maestro of AI-Enhanced CreativityIn the ever-evolving realm of social media, there lies an untapped frontier - the intersection of artificial intelligence and content creation. Imagine wielding the transformative power of AI to not only participate but dominate social media engagement. "Social AI Revolution: Winning Tactics for the Smart Content Creator" is your ultimate guide to mastering this digital renaissance. As you embark on this riveting journey, you will unravel the pioneering tactics that will crown you the sovereign of smart content creation.Navigate the nascent landscape of Social AI with a keen, strategic outlook that delineates the future of digital interaction. Chapter 1 invites you to comprehend the seismic shift AI is causing in social media dynamics - a requisite understanding for any modern content creator. Where others grapple with change, you will be welcoming it with open arms and a shrewd mind.From unearthing the quintessential tools that beckon success to painting the grand picture of your AI-augmented social media strategy, every chapter unfurls critical insights. With a focus on leveraging AI for heartbreaking personalization and distribution efficiencies, you'll learn how to craft content that resonates deeply - honing in on your audience like never before.Yet, with great power comes great responsibility. Chapter 9 dives into the ethical caverns of AI content creation. Steer clear of pitfalls as you chart a course through complicated moral waters, ensuring your creations shine with integrity. And lest you worry about being outpaced, Chapter 10 fortifies you with the skills to stay up-to-speed with AI's rapid evolutions, rendering you invincible in the face of change.Whether you're eyeing the viral zenith or the pragmatic gains from monetization, your approach will be revolutionized. Equip yourself with "Social AI Revolution: Winning Tactics for the Smart Content Creator" and transform from a mere participant into a vanguard of the content frontier. The future isn't just coming; with this book in your arsenal, you are the future.
Text Mining
Encompassing fields such as information retrieval, extraction, classification, summarization and understanding, text mining has become indispensable across diverse application domains. Methodological advances span rule-based systems, statistical approaches, support vector machines, clustering, neural networks and most recently, deep learning, with distance and similarity estimation persisting as central challenges.This Special Issue comprises two survey papers and sixteen research articles, all addressing practical aspects of text mining. The surveys review methods for financial market prediction through social media analysis and sentiment detection, and provide a synthesis of techniques, evaluation strategies, and applications of recommender systems across domains including e-commerce, social media, and online learning.The research articles extend to text classification, sentiment analysis, summarization, and natural language understanding, as well as corpus construction and e-governance applications. Contributions include a large-scale Chinese toponym corpus, CHTopo, deep learning models for tourist behaviour prediction, semantic optimization of artifact presentation, BERT-based knowledge extraction for agricultural ontology construction, and transformer-based approaches for detecting moral features in television narratives.
SwiftUI for Masterminds
SwiftUI for Masterminds is a comprehensive course designed to take you from the fundamentals of SwiftUI to the development of professional applications for Apple platforms.Whether you are a complete beginner starting your journey in app development or an experienced Android developer looking to expand into the Apple ecosystem, this book provides a structured, practical path to mastering SwiftUI.You will not just learn syntax or isolated examples. You will build real applications while understanding the architecture, data flow, state management, navigation, persistence, networking, multimedia integration, system services, and advanced interface design that modern apps require.Every chapter is carefully organized to guide you step by step, with clear explanations, hands-on projects, and progressively more advanced concepts. By the end of the book, you will be able to design, build, and deploy fully functional apps for iPhones, iPads, and Macs.Inside the book, you will learn: - How SwiftUI works under the hood - How to design adaptive interfaces for multiple Apple devices - How to manage data using modern tools like SwiftData - How to share data between devices - How to integrate with new and old system frameworks - How to publish your applications to the App StoreIf you are serious about building powerful apps and entering the Apple development market with confidence, SwiftUI for Masterminds will give you the knowledge and practical experience you need.Xcode 26, iOS 26, macOS 26, Swift 6.2
The Immortalists
What does it mean for us all when death is treated as a glitch and Silicon Valley invests in the "science" of eternal life? 'A fascinating, deeply reported adventure' OLIVER BURKEMAN 'An essential parable for our digital times' KEVIN FONG 'Riveting' DAILY MAIL From the epic of Gilgamesh to the alchemy of the philosopher's stone, humanity's eternal quest for immortality - and its rejuvenation tricks, therapies and tinctures - has always been our most mortal endeavor. But now the giants of invention and investment are building a fountain of youth of their own creation: one they not only engineer but also own and control. Death is simply their next problem to solve, an expression of a hubris that regards humans as appliances to be fixed and machines to be upgraded. By harnessing technology to 'cure' ageing, and funding cutting-edge - and often controversial - research, today's immortalists are locked in an arms race to pocket the profits of longevity. What was once a wild west of experimentation has wormed its way into Washington's corridors of power. Award-winning broadcaster and academic Aleks Krotoski journeys from cult fringes to the heartlands of government to meet the moguls, effective altruists, geroscientists and entrepreneurs who are disrupting death. Along the way she encounters radical life extensionists transfusing their teenage son's blood, transhumanists who want to upload consciousness to the cloud, biohackers flogging AI-powered wellness apps and billionaire kingmakers building brand-new nations. This razor-sharp investigation asks: do we really want a handful of Silicon Valley powerbrokers to be the architects of our forever?
Prince of Programming
Master the basics of programming with C#Prince of Programming teaches real C# programming and core development concepts through engaging, game-themed, story-based examples inspired by classic 1980s adventure platformers. It is designed as a clear and practical guide for anyone who wants to learn C# programming from the ground up.At the end of every chapter, follow the Prince's journey as he solves challenges using the same programming concepts you just learned.Ideal for anyone who want to learn C# the right way from the start.What Makes This Book Different?No information overload. You learn what matters, when it matters.Game-themed story-based examples that don't bore you.Examples include comments and expected output, no computer required.Progressive learning. Each chapter builds on the last.Practical exercises with sample solutions included.What You'll LearnGetting started with Visual Studio 2026 and .NET 10Code structure, naming conventions, and writing clean codeCollections, Variables, data types, and information storageLoops, Logic and decision-makingMethods, functions and Exception handlingObject-oriented programming with classes and inheritanceEvents, delegates and Async programmingCore programming principles (DRY, KISS, YAGNI)You will also learn how to think like a programmer by breaking down problems, debugging systematically, and building solutions that work.Who This Book Is ForComplete beginners who've never written codeSelf-taught or intermediate programmers missing foundational gapsAnyone frustrated with tutorials that skip important steps Learners wanting clear explanations without complexityYou do not need advanced math skills or an expensive computer. Just curiosity and determination.Learn the Right Way from the StartThis book uses console-based examples to focus on pure programming logic. Once you master these fundamentals, you can apply them to anything including games, web apps, mobile apps, automation tools, and more.Bonus chapters include graphics programming, asynchronous programming, and LINQ.Appendices include debugging techniques and guidance for continuing your programming journey.Visit princeofprogramming.com for code examples and additional resources.
