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Professional and Applied Computing (R0)

W. David Ashley

Foundation Db2 and Python

Access Db2 with Module-Based API Examples Using Python

Chapter 1:&amp;nbsp;Introduction to Db2 for Linux and Windows.- Chapter 2: Installing Db2&amp;nbsp;Db2 on Linux and Windows.- Chapter 3:&amp;nbsp;Db2 Management.- Chapter 4:&amp;nbsp;Database Physical Design.-&amp;nbsp;Chapter 5:&amp;nbsp;Db2 Utilities.- Chapter 6:&amp;nbsp;Business Rules and Constraints.- Chapter 7: Writing Good SQL for Db2.- Chapter 8:&amp;nbsp;Python and Db2 - The ibm_db Module.- Chapter 9:&amp;nbsp;ibm_db Module Documentation.- Chapter 10:&amp;nbsp;Where Is The ibm_db Module Going?&lt;div&gt;&lt;br&gt;&lt;/div&gt;

Business and Digital Transformation

This book introduces the key concepts and models to help you understand digital infrastructures, their technologies, their dynamic evolution, and the ways that businesses can exploit them. The primary focus is on processes of innovation and change that are embodied in new digital infrastructures.

This book introduces the key concepts and models to help you understand digital infrastructures, their technologies, their dynamic evolution, and the ways that businesses can exploit them. The primary focus is on processes of innovation and change that are embodied in new digital infrastructures.

Digital Infrastructures for Business Innovation

New Frontiers in Regional Science: Asian Perspectives

Fundamentals and Perspectives Beyond Generative AI

Digital Transformation for Humans and Nature

See How the Magic Happens Built with ARM A64 Assembly Language The ARM edition of Introduction to Computer Organization will show you how high-level code connects to computer hardware through ARM 64-bit assembly language. You’ll learn ARM assembly language from the ground up, and all you’ll need is some basic experience with programming. As you grow to understand ARM’s 64-bit design (from first principles), you’ll develop the skills to write more efficient, optimized code. Learn the fundamentals: <ul><li>Data storage formats and computer encoding</li><li>Binary and hexadecimal arithmetic operations</li><li>Boolean algebra and logic gates</li><li>Digital circuit design&nbsp; </li></ul> Explore how software and hardware interact: <ul><li>Memory hierarchy, from CPU registers to the cloud</li><li>CPU architecture and instruction execution</li><li>ARM 64-bit assembly language programming </li></ul> Get hands-on experience programming the GPIO on Raspberry Pi 3, 4, and 5 in assembly. Use GNU programming tools to examine code generated from C and C++ by the compiler, write assembly programs from scratch, and use the debugger to visualize execution, inspect registers, and understand machine-level operations. Each chapter includes practical “Your Turn” exercises to reinforce key concepts and build real-world programming skills. Whether you’re optimizing code performance, developing embedded systems, or simply curious about how computers execute your programs, this guide provides deep insight into how software and hardware interact to bring programs to life.

See How the Magic Happens Built with ARM A64 Assembly Language The ARM edition of Introduction to Computer Organization will show you how high-level code connects to computer hardware through ARM 64-bit assembly language. You’ll learn ARM assembly language from the ground up, and all you’ll need is some basic experience with programming. As you grow to understand ARM’s 64-bit design (from first principles), you’ll develop the skills to write more efficient, optimized code. Learn the fundamentals: <ul><li>Data storage formats and computer encoding</li><li>Binary and hexadecimal arithmetic operations</li><li>Boolean algebra and logic gates</li><li>Digital circuit design&nbsp; </li></ul> Explore how software and hardware interact: <ul><li>Memory hierarchy, from CPU registers to the cloud</li><li>CPU architecture and instruction execution</li><li>ARM 64-bit assembly language programming </li></ul> Get hands-on experience programming the GPIO on Raspberry Pi 3, 4, and 5 in assembly. Use GNU programming tools to examine code generated from C and C++ by the compiler, write assembly programs from scratch, and use the debugger to visualize execution, inspect registers, and understand machine-level operations. Each chapter includes practical “Your Turn” exercises to reinforce key concepts and build real-world programming skills. Whether you’re optimizing code performance, developing embedded systems, or simply curious about how computers execute your programs, this guide provides deep insight into how software and hardware interact to bring programs to life.

Introduction to Computer Organization: ARM Edition

Saeed Shahsavan

Clarity at Scale in Production-Grade Go Systems

Building Enterprise Projects with Go

In diesem kompakten Handbuch führt Sie Jens Mania Schritt für Schritt durch die Welt von FreeBSD - vom ersten Boot bis zur fortgeschrittenen Systemkonfiguration. Anders als bei anderen Unix-ähnlichen Betriebssystemen fehlt es für FreeBSD oft an zugänglicher Dokumentation in deutscher Sprache, was den Einstieg unnötig erschwert. Hier bekommen Sie alles aus einer Hand: Installation, Benutzerverwaltung, Dateisysteme, Netzwerkadministration, Sicherheit und vieles mehr. Jedes Kapitel verbindet theoretisches Wissen mit praktischen Anleitungen, die sofort umgesetzt werden können. FreeBSD ist bekannt für seine außergewöhnliche Stabilität und Leistung - Eigenschaften, die es zum idealen Betriebssystem für anspruchsvolle Server-Anwendungen machen. Mit diesem Handbuch erschließen Sie sich dieses Potenzial vollständig und gewinnen die Sicherheit, Ihr System optimal zu konfigurieren und zu verwalten.

Das kompakte Handbuch für den Einstieg und die Anwendung

FreeBSD 14

Learn to write real Linux software—not just run it. Most programmers never learn how Linux really works. Why? Because system programming is rarely taught, and the tools can be intimidating without the right guidance. As a result, many developers stick to high-level languages and frameworks—writing code that runs on Linux without understanding how it interacts with Linux. In today’s world, that’s not enough to stand out. Especially as more companies turn to AI to write their software, the question becomes: How do you stay relevant in an AI-driven world? You learn how things really work. If you’ve ever wondered how processes are created, how memory and files are managed, or how programs communicate in a Unix environment, System Programming in Linux will make it all make sense. This is a hands-on guide to writing software that interfaces directly with the Linux operating system. You’ll go beyond shell commands and abstractions to understand what the kernel is doing—and how to leverage it through your own code. Rather than telling you how to solve each problem, Professor Stewart N. Weiss guides you through the process of discovering the solution yourself. Start with the core concepts of Unix and Linux, then work your way up to advanced topics like process control, signals, interprocess communication, threading, and non-blocking I/O. Each chapter includes conceptual diagrams, annotated source code, and practical projects to help you immediately apply what you’ve learned. You’ll explore topics such as: <ul><li>The structure of Unix and Linux operating systems—and why it matters</li><li>Using system calls to create and manage processes</li><li>The mechanics of signals, timers, and interprocess communication</li><li>Using synchronization tools to write multithreaded programs</li><li>Interacting with filesystems, devices, and terminals</li><li>Building text-based user interfaces using ncurses</li><li>Developing programs that are robust, efficient, and portable</li></ul> At Hunter College, Professor Weiss built the course this book is based on, and he has helped thousands of students go from confusion to confidence in his over 40 years of teaching programming. His clear, conversational style; technical depth; and focus on real-world application make this one of the most approachable and powerful system programming books available. As Linux continues to dominate development, server, and embedded environments, understanding the system behind your software isn’t just helpful; it’s essential. Whether you’re a student, developer, or sysadmin, this book gives you the tools to work directly with Linux and the insight to understand what’s really happening under the hood.

Learn to write real Linux software—not just run it. Most programmers never learn how Linux really works. Why? Because system programming is rarely taught, and the tools can be intimidating without the right guidance. As a result, many developers stick to high-level languages and frameworks—writing code that runs on Linux without understanding how it interacts with Linux. In today’s world, that’s not enough to stand out. Especially as more companies turn to AI to write their software, the question becomes: How do you stay relevant in an AI-driven world? You learn how things really work. If you’ve ever wondered how processes are created, how memory and files are managed, or how programs communicate in a Unix environment, System Programming in Linux will make it all make sense. This is a hands-on guide to writing software that interfaces directly with the Linux operating system. You’ll go beyond shell commands and abstractions to understand what the kernel is doing—and how to leverage it through your own code. Rather than telling you how to solve each problem, Professor Stewart N. Weiss guides you through the process of discovering the solution yourself. Start with the core concepts of Unix and Linux, then work your way up to advanced topics like process control, signals, interprocess communication, threading, and non-blocking I/O. Each chapter includes conceptual diagrams, annotated source code, and practical projects to help you immediately apply what you’ve learned. You’ll explore topics such as: <ul><li>The structure of Unix and Linux operating systems—and why it matters</li><li>Using system calls to create and manage processes</li><li>The mechanics of signals, timers, and interprocess communication</li><li>Using synchronization tools to write multithreaded programs</li><li>Interacting with filesystems, devices, and terminals</li><li>Building text-based user interfaces using ncurses</li><li>Developing programs that are robust, efficient, and portable</li></ul> At Hunter College, Professor Weiss built the course this book is based on, and he has helped thousands of students go from confusion to confidence in his over 40 years of teaching programming. His clear, conversational style; technical depth; and focus on real-world application make this one of the most approachable and powerful system programming books available. As Linux continues to dominate development, server, and embedded environments, understanding the system behind your software isn’t just helpful; it’s essential. Whether you’re a student, developer, or sysadmin, this book gives you the tools to work directly with Linux and the insight to understand what’s really happening under the hood.

A Hands-On Introduction

System Programming in Linux

The job title is dying. What comes next will define how we build.
We are witnessing a lineage break as profound as the Industrial Revolution - but this time, it's happening at machine speed. A three-person team now orchestrates the productive capacity that once required 30,000 employees. AI agents don't just assist with work; they are the workforce, executing, learning, and adapting faster than any human organization ever could.
This is not another book about AI tools or incremental efficiency gains. The Machine Core is the definitive blueprint for the new architecture of enterprise. Part field manual, part historical reckoning, it reveals why this technological rupture is different from all others - and gives executives, founders, and architects a first-principles operating system for building in the AI era: the Five Planes, VP-Agents, the Defensibility Stack, the Mothership Architecture, and the New Triumvirate that replaces the org chart.
For executives navigating existential disruption and founders building the next generation of companies, The Machine Core offers both a clear-eyed diagnosis and a buildable design.
The machines will scale the how. This book shows you how to architect it.

The Machine Core

AI-Born

In the rapidly evolving landscape of artificial intelligence, Salesforce has unleashed a platform that promises to redefine how businesses operate. This book is your guide to mastering Salesforce’s flagship AI product. Agentforce offers autonomous AI agents to streamline workflows, reduce manual labor, and unlock new productivity levels.
From order fulfilment and case management to running marketing campaigns, these autonomous agents are set to become the workforce multipliers of the future. This isn't just another technical manual, it's a comprehensive journey from concept to implementation. Whether you're a Salesforce administrator, developer, consultant, or architect, this book provides a step-by-step blueprint for creating AI agents that generate tangible business value.
Through practical methods, in-depth concept explanations, architectural insights, and example use cases, you'll gain the expertise to transform theoretical potential into operational excellence. Implementing Agentforce isn't just about understanding technology—it's about business transformation. This guide illustrates the tremendous opportunities and potential pitfalls of AI agent deployment. You'll learn not just how to build agents, but how to integrate them seamlessly into your organizational ecosystem, ensuring they become true strategic assets rather than experimental technologies.
With the help of this book, you will have the necessary skill set to launch your first agents, understand the intricate mechanics of AI agent design, and position your organisation at the cutting edge of the agentic revolution. 
Includes a Foreword by Ben Mccarthy, Founder &amp; CEO SF Ben
You Will:
¿ ¿ ¿ Learn how to integrate AI agents into your existing workflows and enterprise systems.
This book is for: Salesforce professionals (administrators, technical developers, consultants, architects, business analysts)

In the rapidly evolving landscape of artificial intelligence, Salesforce has unleashed a platform that promises to redefine how businesses operate. This book is your guide to mastering Salesforce’s flagship AI product. Agentforce offers autonomous AI agents to streamline workflows, reduce manual labor, and unlock new productivity levels.From order fulfilment and case management to running marketing campaigns, these autonomous agents are set to become the workforce multipliers of the future. This isn't just another technical manual, it's a comprehensive journey from concept to implementation. Whether you're a Salesforce administrator, developer, consultant, or architect, this book provides a step-by-step blueprint for creating AI agents that generate tangible business value.Through practical methods, in-depth concept explanations, architectural insights, and example use cases, you'll gain the expertise to transform theoretical potential into operational excellence. Implementing Agentforce isn't just about understanding technology—it's about business transformation. This guide illustrates the tremendous opportunities and potential pitfalls of AI agent deployment. You'll learn not just how to build agents, but how to integrate them seamlessly into your organizational ecosystem, ensuring they become true strategic assets rather than experimental technologies.With the help of this book, you will have the necessary skill set to launch your first agents, understand the intricate mechanics of AI agent design, and position your organisation at the cutting edge of the agentic revolution.&nbsp;You Will:●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Learn what AI agents are, how they work, and why they’re transforming business automation.●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Get step-by-step guidance on designing, configuring, and deploying AI agents within Salesforce.●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Learn how to integrate AI agents into your existing workflows and enterprise systems.This book is for:&nbsp;Salesforce professionals (administrators, technical developers, consultants, architects, business analysts)&nbsp;

Plan, Design, Build and Run AI Agents with Salesforce

A Complete Guide to Agentforce

Chapter 1: Introduction to RHEL AI.- Chapter 2: Setting Up RHEL AI.- Chapter 3: Exploring Core Components.- Chapter 4: Advanced Features of RHEL AI.- Chapter 5: Developing Custom AI Applications.- Chapter 6: Monitoring and Maintenance.- Chapter 7: Use Cases and Best Practices.- Chapter 8: Future Trends in RHEL AI.- Chapter 9: Community and Support.

If you're looking to build, deploy, and scale AI solutions with confidence, 
 Practical RHEL AI
 is the guide you need. Whether you're an AI developer, data scientist, or DevOps engineer, this book walks you through the entire process—from setting up your AI development environment to optimizing and securing enterprise-scale AI workloads on Red Hat Enterprise Linux.
 You'll start with the essentials: installation, configuration, and leveraging powerful machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Then, you’ll dive into the tools that make AI deployment seamless—GPU acceleration, containerization, and cloud integration with AWS and Azure.
 Security and compliance are non-negotiable in AI, and this book makes sure you get them right. Learn how to protect your models with encryption, implement role-based access control (RBAC), and meet industry standards like GDPR and HIPAA. You’ll also master AI workload monitoring with Prometheus and Grafana, troubleshoot common issues, and automate deployments with Ansible.&nbsp;However,&nbsp;theory only gets you so far—real-world applications make the difference. Through hands-on examples and case studies in healthcare, finance, and manufacturing, you’ll see how RHEL AI powers innovation in the field. Plus, you'll get insights into the future of AI, including Explainable AI (XAI), Edge AI, and AI governance. With 
 Practical RHEL AI,
 you’re not just learning AI—you’re building AI solutions that scale.
 You Will:<ul><li>Learn to Install and Configure RHEL AI to optimize machine learning workloads</li><li>Understand how to train and Deploy AI models using TensorFlow, PyTorch, and Scikit-learn</li><li>Explore how to Integrate and Implement GPU acceleration, cloud computing, and containerization for scalable AI solutions</li><li>Learn to Secure and Evaluate AI workloads with encryption, RBAC, and compliance best practices</li></ul>·&nbsp; &nbsp; &nbsp; This Book is for:AI and machine learning engineers, DevOps and system administrators, Data scientists, and IT professionals and cloud architects

Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux

Practical RHEL AI

Lecture Notes in Information Systems and Organisation

This book brings together selected papers presented at the International Scientific Conference “Digital Transformation in Industry: Trends, Management, Strategies” (DTI), held in Ekaterinburg, Russia, on November 19–21, 2025, as part of the biennial DTI framework. Organized by the Institute of Economics of the Ural Branch of the Russian Academy of Sciences, the conference further developed the strategic research agenda initiated at DTI-2024, with particular emphasis on the theme ‘Artificial Intellect in Industry: Effects, Barriers, and the Directions of National Policy’. The book is structured around five interconnected thematic areas. First, it addresses applied cases of artificial intelligence and emerging trajectories of industrial development, including comparative national experiences, sectoral applications, human–machine interaction on the shopfloor, and AI-enabled energy and sustainability solutions. Second, it explores the optimization of business processes and business models through digitalization, focusing on data management, organizational change, and the transformation of enterprise decision-making. Third, it considers digital ecosystem architectures and platform-based solutions, highlighting agent-based modeling, adaptive identification methods, cross-border innovation platforms, hardware emulation tools, and regional dimensions of digital transformation. Fourth, the volume examines the human dimension of AI adoption, including human-centered manufacturing, education, employment, digital skills, wages, and human capital formation under Industry 5.0. Finally, the book explores the application of AI-driven tools in FinTech and cybersecurity, with chapters addressing large language models and proactive cyberattack detection. Taken together, the chapters offer theoretical, methodological, and empirical perspectives on the restructuring of industrial systems under the influence of AI. The book will be of interest to scholars, practitioners, and policymakers engaged in the study and implementation of AI-driven industrial transformation.

AI-Driven Transformation and Managerial Innovation

Towards an Intelligent Industry

Haufe Fachbuch

Florian Bliefert

Methoden, Tools und Anwendungen

Künstliche Intelligenz und Data Science im Controlling verstehen und anwenden

Salesforce quality engineering is at a turning point. As organizations adopt Agentforce and scale across multi-cloud Hyperforce environments, traditional testing methods—manual checks, UI-driven automation, and reactive bug fixes—fall short. This book offers practical frameworks and proven strategies from decades of real-world experience with Fortune 500 Salesforce programs, addressing the scale, speed, and complexity of today’s platforms.This book covers 14 focused chapters and explores embedding quality into design, automation with measurable ROI, AI-era testing, and continuous compliance. Unique to this book is its emphasis on auditing GPT-generated content, testing autonomous agents, and implementing ethical governance. With over 50 reusable test scenarios, templates, and checklists, it’s both a playbook and a cultural roadmap, helping teams turn quality into a strategic advantage.What You Will Learn<ul><li>Design and implement scalable Salesforce QA strategies that align with modern multi-cloud and AI-powered architectures such as Hyperforce and Agentforce</li><li>Understand techniques to validate AI-generated content, test autonomous agents, and apply ethical governance within your testing processes</li><li>Practice ways to drive measurable ROI from test automation and accelerate adoption using reusable scenarios, templates, and quick-start guides</li></ul>&nbsp;

Salesforce quality engineering is at a turning point. As organizations adopt Agentforce and scale across multi-cloud Hyperforce environments, traditional testing methods—manual checks, UI-driven automation, and reactive bug fixes—fall short. This book offers practical frameworks and proven strategies from decades of real-world experience with Fortune 500 Salesforce programs, addressing the scale, speed, and complexity of today’s platforms.This book covers 14 focused chapters and explores embedding quality into design, automation with measurable ROI, AI-era testing, and continuous compliance. Unique to this book is its emphasis on auditing GPT-generated content, testing autonomous agents, and implementing ethical governance. With over 50 reusable test scenarios, templates, and checklists, it’s both a playbook and a cultural roadmap, helping teams turn quality into a strategic advantage.&nbsp;What You Will Learn:<ul><li>Design and implement scalable Salesforce QA strategies that align with modern multi-cloud and AI-powered architectures such as Hyperforce and Agentforce</li><li>Understand techniques to validate AI-generated content, test autonomous agents, and apply ethical governance within your testing processes</li><li>Practice ways to drive measurable ROI from test automation and accelerate adoption using reusable scenarios, templates, and quick-start guides</li></ul>&nbsp;Who This Book Is For:Salesforce QA engineers and test automation professionals

A Strategic Blueprint for Testing, Resilience, and AI-Ready Assurance

Mastering Salesforce Quality

Foundation Db2 and Python

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