Bücher veröffentlicht von APress

The modern digital landscape presents many threats and opportunities, necessitating a robust understanding of cybersecurity. This book offers readers a broad-spectrum view of cybersecurity, providing insights from fundamental concepts to advanced technologies. Beginning with the foundational understanding of the ever-evolving threat landscape, the book methodically introduces many cyber threats. From familiar challenges like malware and phishing to more sophisticated attacks targeting IoT and blockchain, readers will gain a robust comprehension of the attack vectors threatening our digital world.Understanding threats is just the start. The book also delves deep into the defensive mechanisms and strategies to counter these challenges. Readers will explore the intricate art of cryptography, the nuances of securing both mobile and web applications, and the complexities inherent in ensuring the safety of cloud environments. Through meticulously crafted case studies tailored for each chapter, readers will witness theoretical concepts' practical implications and applications. These studies, although fictional, resonate with real-world scenarios, offering a nuanced understanding of the material and facilitating its practical application.Complementing the knowledge are reinforcement activities designed to test and solidify understanding. Through multiple-choice questions, readers can gauge their grasp of each chapter's content, and actionable recommendations offer insights on how to apply this knowledge in real-world settings. Adding chapters that delve into the intersection of cutting-edge technologies like A.I. and cybersecurity ensures that readers are prepared for the present and future of digital security. This book promises a holistic, hands-on, and forward-looking education in cybersecurity, ensuring readers are both knowledgeable and action-ready.What You Will Learn: The vast array of cyber threats, laying the groundwork for understanding the significance of cybersecurity.Various attack vectors, from malware and phishing to DDoS, giving readers a detailed understanding of potential threats.Delve into the psychological aspect of cyber threats, revealing how humans can be manipulated into compromising security.An in-depth look at how information is encrypted and decrypted to preserve its integrity and confidentiality.The essential techniques and technologies that safeguard data while it's being transferred across networks.Strategies and methods to protect online applications from threats.How to safeguard data and devices in an increasingly mobile-first world.Demystify the complexities of cloud environments, offering tools and strategies to ensure data safety.The science behind investigating and analyzing cybercrimes post-incident.How to assess system vulnerabilities and how ethical hacking can identifyweaknesses.Who this book is for: CISOs, Learners, Educators, Professionals, Executives, Auditors, Boards of Directors, and more.

Gain a theoretical understanding to the most popular libraries in deep reinforcement learning (deep RL). This new edition focuses on the latest advances in deep RL using a learn-by-coding approach, allowing readers to assimilate and replicate the latest research in this field. New agent environments ranging from games, and robotics to finance are explained to help you try different ways to apply reinforcement learning. A chapter on multi-agent reinforcement learning covers how multiple agents compete, while another chapter focuses on the widely used deep RL algorithm, proximal policy optimization (PPO). You'll see how reinforcement learning with human feedback (RLHF) has been used by chatbots, built using Large Language Models, e.g. ChatGPT to improve conversational capabilities.You'll also review the steps for using the code on multiple cloud systems and deploying models on platforms such as Hugging Face Hub. The code is in Jupyter Notebook, which canbe run on Google Colab, and other similar deep learning cloud platforms, allowing you to tailor the code to your own needs. Whether it's for applications in gaming, robotics, or Generative AI, Deep Reinforcement Learning with Python will help keep you ahead of the curve.What You'll LearnExplore Python-based RL libraries, including StableBaselines3 and CleanRL Work with diverse RL environments like Gymnasium, Pybullet, and Unity MLUnderstand instruction finetuning of Large Language Models using RLHF and PPOStudy training and optimization techniques using HuggingFace, Weights and Biases, and Optuna Who This Book Is ForSoftware engineers and machine learning developers eager to sharpen their understanding of deep RL and acquire practical skills in implementing RL algorithms fromscratch.

Leverage the power of the Shadow DOM API to quickly create encapsulated code that keeps markup and styles separate within websites. Using little more than a text editor or free software, this project-oriented book simplifies the process of creating and manipulating the Shadow DOM API code in the browser for websites or online applications. You'll use a starting toolset to develop future projects, incorporate them into an existing workflow, and allow them to simplify complex components. This makes them more robust and less brittle when used in websites. You'll also see that websites do not have to convert the whole work process immediately; you can incorporate as little or as much as needed of the API, and build on this as your skills develop. We live in an age where speed and simplicity are of the essence. Beginning Shadow DOM API shows you the perfect way to create encapsulated code that can run in multiple frameworks with a minimum of fuss.You You'll LearnImplement the Shadow DOM API in a projectGain an appreciation of pointers using the Shadow DOM APIManage issues and security when using the Shadow DOM APIMake components and code more reusable, while maintaining desired stylingWho This Book Is ForWebsite developers who are already familiar with frameworks that Shadow DOM API, but do not want to have to use the heavy weight of a full-sized framework to add features such as DOM encapsulation to their code.

Embrace the future of software development! ChatGPT for Java is the perfect starting point for Java developers to learn how to build intelligent applications using ChatGPT and Open AI APIs.This book takes you from the ground up to demonstrate how to use ChatGPT programmatically. You will learn the basics of ChatGPT and OpenAI APIs, including how to authenticate, send prompts, generate responses, test in the Playground, and handle errors. Each chapter includes practical exercises which demonstrate different API functionalities and bring your concepts to life. You will learn how to AI-enable your own applications using models such as GPT-4, GPT-3.5, Whisper, DALL-E, and many more. As a result, developers will understand that generative AI tools will not replace software development jobs! Instead, you will leverage ChatGPT as your Java AI-pair programmer to increase speed and productivity. You will also learn how ChatGPT can provide powerful Natural Language Processing (NLP) capabilities to your Java apps in order to understand various formats of unstructured text. Step-by-step, you will apply the concepts covered to create your own intelligent chatbots that can automatically process messages from either Slack on Discord. With this book, Java developers will be empowered to take their applications to new heights by leveraging the power of AI as this exciting field continues to evolve and transform.What You Will LearnAuthenticate with the ChatGPT and OpenAI APIs and learn how to engineer and send promptsTest your prompts in the ChatGPT PlaygroundHow to use multiple artificial intelligence models Harness the power the temperature, top_p, and other parameters that can ONLY be accessed by developers to create more unique and engaging responses from ChatGPTCreate intelligent bots for Slack or Discord serversIncorporate context into prompts for betterresponses and apply advanced features of the APIs.Explore future directions for ChatGPT and OpenAI Who This Book Is ForBeginning and intermediate Java developers who have a basic understanding of Java programming concepts and are interested in learning how to add intelligence to their applications by using ChatGPT programmatically. No prior experience with ChatGPT or OpenAI APIs is required.

* Updated for XSLT 2.0, the latest revision * A clear, step-by-step introduction to XSLT for practical, everyday tasks * Suitable for complete beginners, even people who have never programmed before * Comprehensive, but focuses on techniques that are used time and time again; Uses a fun byut realistic case study throughout * Includes introductions to many of the most popular XML vocabularies Written by one of the leading experts on both XSLT and XML Schema; technical review by Michael Kay, the leading and well-known expert on XSLT.

Intermediate user level

This transformative book explores the power of artificial intelligence (AI) in revolutionizing the utilities industry. It covers crucial topics such as intelligent grids, decentralized energy resources, customer engagement, electric vehicle integration, and more, providing a comprehensive and practical guide to successfully navigate the energy transition.In today's world, the urgency of addressing climate change and transitioning to sustainable energy systems is undeniable. With approximately 60 percent of global greenhouse gas emissions attributed to the energy sector, utilities play a vital role in achieving sustainability goals. The traditional utility business model faces disruption from renewable energy, changing consumer expectations, and regulatory shifts. Embracing AI emerges as a key solution to optimize operations, enhance grid reliability, and meet evolving customer demands.Through compelling case studies and industry-specific use cases, you will discover how AI drives innovation, improves operational efficiency, and contributes to a greener and more sustainable world. As the demand for cleaner and more sustainable energy practices grows, this book demonstrates how AI can support utilities in meeting these demands, making them more resilient, agile, and customer-centric.Whether you're a seasoned industry expert or a curious student, this book equips you with the knowledge and insights to embrace sustainability, navigate the complex energy landscape, leverage AI to shape a positive future, and join the movement towards a greener world, empowered by AI's potential in the utilities industry.What You Will LearnUnderstand the challenges and opportunities for utilities in the context of climate change, energy poverty, and the evolving business landscapeDiscover how rapid transformation is needed in the utilities sector to overcome challenges and leverage opportunities for a sustainable futureGain insight into the role of technology, particularly artificial intelligence (AI), as a critical tool for utilities in their transformation journeyBe aware of how AI can be applied in building the future utility industry, including its potential impact on energy efficiency, intelligent energy ecosystems, community engagement, and new business modelsGain knowledge of the adoption of AI and machine learning technologies in the utility industry, including the current state, barriers, significant influencing factors, and an AI adoption maturity model for utilitiesRecognize the sustainability imperative for utilities and how AI can help in achieving sustainable energy practicesBecome familiar with the transformation of power generation, microgrids, intelligent transmission and distribution systems, utilities retail, mobility through electric vehicles, and the integration of distributed energy resources (DER) using AIGain insight into the potential of AI in addressing challenges and driving innovation in the energy ecosystem, such as optimizing power generation assets, enhancing grid intelligence, improving customer service, and enabling clean energy awareness in the metaverse

Create interactive and data-driven dashboards using Python. This hands-on guide is a practical resource for those (with modest programming skills) in scientific and engineering fields looking to leverage Python's power for data visualization and analysis in a user-friendly dashboard format.Yoüll begin by gaining a fundamental understanding of Python programming, including data types, lists, dictionaries, and data structures. The book then delves into the world of reactive programming with Plotly and Dash, offering a hands-on approach to building interactive web-based dashboards. Next, yoüll see how to work with online data, how to scrape and clean datasets, and keep files up-to-date. The book also guides you through planning a dashboard prototype, outlining project tasks, trends, forecasts, spectra, and other design considerations. It concludes with a discussion of how the dashboard can be used for data visualization of real data, explaining the usefulness of tools such as spectra.By providing detailed examples for download and customization, Prototyping Python Dashboards for Scientists and Engineers will equip you with the skills needed to jumpstart your own development efforts.What Yoüll LearnDesign a dashboard with PythonConvert and filter Excel formatted files to produce CSV filesCreate browser-served graphics with PLOTLYGenerate polynomial trend lines for forecastingBuild a Unix service to share your dashboardWho This Book Is ForScientists, engineers, students, programmers, and data enthusiasts who aspire to harness Python's potential for data visualization and analysis through the creation of interactive dashboards. Many will be pragmatic programmers with modest skills and limited resources who mainly want to see a working solution they could emulate.

Build and maintain effective, collaborative, and motivated software development teams. This book addresses the challenges in doing so, like communication gaps, trust issues, and motivation problems, and provides strategies to overcome them. You'll be introduced to the Radical Therapy Dev philosophy, a holistic approach designed to optimize software development teams for better performance and overall well-being. This book highlights common pain points in software development and offers solutions to resolving much of the issues in teams. It offers strategies for implementation, focusing on adaptability and accountability, while also promoting community-supported standards. And, the book reveals why an emphasis on fostering a growth mindset, mentorship programs, and junior-intern initiatives promotes continuous learning and collaboration.With the rise of remote work, you'll see why hiring globally while thinking locally is gaining popularity. You'll also gain insights into removing barriers to remote work, along with tools and policies for remote collaboration. Additionally, the book explores the concept of cloud-native software development and its benefits. Radical Therapy for Software Development Teams critiques the traditional "agile" methodology, identifying its shortcomings while extracting valuable lessons that can still be applied effectively. What You Will LearnAddress communication gaps, foster trust, and nurture a growth mindset among team membersAvoid common feedback mistakes, recognize accomplishments, and implement a reward systemImprove software development practices and team dynamics Take a scientific approach to project management rather than traditional requirements gatheringBreak Down Communication BarriersWho This Book is ForSoftware development professionals

Create video game elements using the Godot game engine, gaining practical experience in programming and video game development. The Godot game engine uses a simplified programming language called GDScript, which closely resembles Python. By learning GDScript, you can focus more on learning the basics of programming. Yoüll explore concepts such as variables and data structures variables used to store information about video game objects that can be manipulated using a keyboard or a mouse. Yoüll also learn about user interface design, branching statements, and looping statements, enabling you to actively engage in programming and create your own interactive games. By the end of the book, yoüll have a solid understanding of how video game elements work and how the basic principles of programming work as well. By programming simple video game elements in the Godot game engine, yoüll learn both programming and the principles of 2D video game design.What You Will LearnUnderstand the basics of programming by creating simple video game elements in the Godot game engine.Explore variables and data structures to actively store and modify information about video game objects.Gain a deeper understanding of user interface design.Master simplified programming languages like GDScript.Who This Book Is For Aspiring programmers and game enthusiasts seeking an engaging introduction to programming through video game creation.

Today¿s industries are faced with a growing demand for vision systems due to their non-invasive characteristics in inspecting product quality. These systems identify surface defects and faults, and verify components¿ orientation and their measurements, etc. This book explores the vision techniques needed to design and develop your own industrial vision system with the help of Raspberry Pi.Yoüll start by reviewing basic concepts and applications of machine vision systems, followed by the preliminaries of Python, OpenCV, required libraries, and installing OpenCV for Python on Raspberry Pi. These are used when implementing image processing for the system applications. Yoüll then look at interfacing techniques and some of the challenges industrial vision systems encounter, such as lighting and camera angles. Algorithms and image processing techniques are also discussed, along with machine learning and deep learning techniques. Later chapters explain the use of GUI apps and real-time applications of Industrial vision systems. Each chapter concludes with examples and demo implementations to facilitate your knowledge of the concepts. By the end of the book, yoüll be able to build and deploy computer vision applications with Python, OpenCV, and Raspberry Pi.What You'll LearnBuild and deploy industrial vision system using Raspberry Pi and Python programmingExplore computer vision techniques using Raspberry Pi and OpenCVImplement popular vision techniques for industrial applications in real timeReview modern image processing techniques such as image segmentation, thresholding, and contoursWho This Book Is ForRaspberry Pi and Python enthusiasts interested in computer vision applications; educators, industrialists, and industrial solution providers who want to design vision-based testing products with the help of Raspberry Pi

We lelcome to Beginning C: From Novice to Professional, Fourth Edition. With this book you can become a competent C programmer. In many ways, C is an ideal language with which to learn programming. C is a very compact language, so there isn't a lot of syntax to learn before you can write real applications. In spite of its conciseness and ease, it's also an extremely powerful language that's still widely used by professionals. The power of C is such that it is used for programming at all levels, from device drivers and operating system components to large-scale applications. C compilers are available for virtually every kind of computer, so when you've learned C, you'll be equipped to program in just about any context. Finally, once you know C, you have an excellent base from which you can build an understanding of the object-oriented C++. My objective in this book is to minimize what I think are the three main hurdles the aspiring programmer must face: coming to grips with the jargon that pervades every programming language, understanding how to use the language elements (as opposed to merely knowing what they are), and appreciating how the language is applied in a practical context. Jargon is an invaluable and virtually indispensable means of communication for the expert professional as well as the competent amateur, so it can't be avoided.

Everyone deserves to use the Internet. An estimated 1.3 billion people experience significant disability. That¿s 16percent of the world¿s population, or one in six of us. At the same time, over 96 percent of the one million most popular websites have an accessibility issue. Add to this the massive rise in legal cases around sites not being accessible, including Beyoncé, Disney, and Netflix, and you have an important topic that more and more people are starting to engage with.In this updated and revamped second edition of the Amazon technology chart-topping Practical Web Accessibility, yoüll be guided through a broad range of disabilities and access needs. Yoüll understand the ways these users typically engage with the web, the barriers they often face, and practical advice on how your websites and content can be compliant, but more than that, inclusive and enjoyable to use. There¿s also a new chapter on ¿Outsourcing Accessibility,¿ exploring third party ¿bolt-on¿ tools, ¿build your own website¿ platforms like Wix, and popular design systems. Yoüll explore whether they¿re helpful or detrimental in the fight to make the web more accessible.Throughout this book yoüll learn to test for, spot, and fix web accessibility issues for a wide range of physical and mental impairments. Featuring content from the latest compliance frameworks, including the newly released WCAG 2.2 and exploratory concepts in WCAG 3, yoüll see how to go beyond the basic requirements in order to help your users. Yoüll also learn that an accessible approach won¿t just help people with disabilities, it will improve your website for everyone.This book comes complete with practical examples you can use in your own sites, along with a brand-new approach to auditing and improving a website¿s accessibility, and a team¿s approach to it, based on tools created by the author and refined over years as a consultant ¿ The FAIR framework and ACCESS checklist. With these tools, you can set up processes for yourself and your team that will drastically improve the accessibility of your sites and, importantly, keep them that way in the future. Suitable for those of any profession or experience level, Practical Web Accessibility gives you all the information you need to ensure that your sites are truly accessible for the modern, inclusive web. If you would like to learn about web accessibility in a clear and actionable way, this book is for you.What You Will LearnA greater understanding of a vast range of disabilities that have online access needs, and the issues they typically face accessing content online.Ways to apply the practical steps required to cater for those needs.How to take your sites, and colleagues, on a journey from being inaccessible to accessible.The importance of accessibility in your designs, code, content, and more.The best ways to test andimprove your sites, so you can be compliant, and truly accessible. Who This Book Is For Anyone, regardless of what they do, who wants to learn how to make websites and their content more accessible for those with disabilities. In the world of web, the book has been used by front and backend developers, designers, product and project managers, team and business leaders.

Faster websites offer a better user experience and typically have higher conversion rates. It can be challenging to know where to invest to meaningfully improve a website's speed. Investing correctly to improve speed starts with understanding how to correctly measure speed and knowing how to use those measurements to identify the biggest opportunities. Speed Metrics Guidehelps marketers, SEOs, business leaders, designers, and everybody else involved in website performance select the right metrics to use to optimize their website's speed. Each chapter examines a specific metric, discusses what it measures, why the metric matters and what tactics will help improve that metric. What You'll LearnThe best metrics and tools to help you measure website speed, including Google's Core Web VitalsHow and when to best use each metricWhere each metric fits within the website loading processHow to use each metric to find different ways of improving website speedWho This book Is ForNon-technical audience, including marketers, SEOs, designers, and UX professionals.

Gain the skills required to dive into the fundamentals of the RISC-V instruction set architecture. This book explains the basics of code optimization, as well as how to interoperate with C and Python code, thus providing the starting points for your own projects as you develop a working knowledge of assembly language for various RISC-V processors.The RISC-V processor is the new open-source CPU that is quickly gaining popularity and this book serves as an introduction to assembly language programming for the processor in either 32- or 64-bit mode. Yoüll see how to write assembly language programs for several single board computers, including the Starfive Visionfive 2 and the Espressif ESP32-C3 32-bit RISC-V microcontroller. The book also covers running RISC-V Linux with the QEMU emulator on and Intel/AMD based PC or laptop and all the tools required to do so.Moving on, yoüll examine the basics of the RISC-V hardware architecture, all the groups of RISC-V assembly language instructions and understand how data is stored in the computer¿s memory. In addition, yoüll learn how to interface to hardware such as GPIO ports. With RISC-V Assembly Language Programming yoüll develop enough background to use the official RISC-V reference documentation for your own projects.What You'll LearnProgram basic RISC-V Assembly LanguageSee how data is represented and stored in a RISC-V based computerMake operating system calls from Assembly Language and include other software libraries in projectsInterface to various hardware devicesComprehend code containing Assembly LanguageReverse engineer and hack codeUse the official RISC-V reference documentationWho This Book Is ForThose who have already learned to program in a higher-level language like Python, Java, C# or even C and now wish to learn Assembly Language programming.

Intermediate-Advanced user level

Learn and explore the capabilities of Microsoft Fabric, the latest evolution in cloud analytics suites. This book will help you understand how users can leverage Microsoft Office equivalent experience for performing data management and advanced analytics activity. The book starts with an overview of the analytics evolution from on premises to cloud infrastructure as a service (IaaS), platform as a service (PaaS), and now software as a service (SaaS version) and provides an introduction to Microsoft Fabric. You will learn how to provision Microsoft Fabric in your tenant along with the key capabilities of SaaS analytics products and the advantage of using Fabric in the enterprise analytics platform. OneLake and Lakehouse for data engineering is discussed as well as OneLake for data science. Author Ghosh teaches you about data warehouse offerings inside Microsoft Fabric and the new data integration experience which brings Azure Data Factory and Power Query Editor of Power BI together in a single platform. Also demonstrated is Real-Time Analytics in Fabric, including capabilities such as Kusto query and database. You will understand how the new event stream feature integrates with OneLake and other computations. You also will know how to configure the real-time alert capability in a zero code manner and go through the Power BI experience in the Fabric workspace. Fabric pricing and its licensing is also covered.After reading this book, you will understand the capabilities of Microsoft Fabric and its Integration with current and upcoming Azure OpenAI capabilities.What You Will LearnBuild OneLake for all data like OneDrive for Microsoft OfficeLeverage shortcuts for cross-cloud data virtualization in Azure and AWSUnderstand upcoming OpenAI integrationDiscover new event streaming and Kusto query inside Fabric real-time analyticsUtilize seamless tooling for machine learning and data scienceWho This Book Is ForCitizen users and experts in the data engineering and data science fields, along with chief AI officers

Learn the fundamental principles of electronic components in a simple, easy-to-follow text. This book is a must-have for anyone seeking to master the basics of electronic engineering.Completely avoiding unnecessary complex technical concepts and highly mathematical terms, chapters are presented in simple language, using analogies that are familiar to everyone. From deciphering schematics to practical implementation, the knowledge imparted in these pages opens doors to exciting possibilities. You'll gain a solid understanding of crucial components like diodes, transistors, relays, ICs, DC motors, and more.Whether you're a student looking to grasp the fundamentals or a maker eager to bring your projects to life, ABCs of Electronics is your essential companion. What You'll LearnGain the skills to read and implement electronic schematicsDevelop a practical understanding of digital electronics, logic gates, and prototyping platforms.Discover how to work with DC motors and relays for various electronic applications.Acquire essential electronics knowledge Simplify the complexities of electronics and offer practical, hands-on guidance.Who This Book Is ForMakers, high school and college students pursuing electronic engineering, individuals with a general interest in electronics, and anyone seeking a practical and simplified approach to learning the fundamentals of electronics.

Create mods using the popular game Farming Simulator with Lua, a versatile scripting language that can run on various platforms and applications. This open access book is best suited for programmers who want to learn how to use Lua to write scripts that can enhance and extend the gameplay experience.You'll start by reviewing the basics of programming in Lua and then move on to advanced topics, such as object-oriented programming, vehicle and placeable specializations, network synchronization, and creating custom user interfaces. With step-by-step instructions and detailed explanations, you'll see how to create scripts that modify game mechanics and add new features to the game.The practical examples and projects are ideal for providing hands-on experience with Lua scripting. Whether you are a creator looking to take your skills to the next level or a game developer interested in learning a new programming language, Scripting Farming Simulator with Luais the ultimate guide to mastering Lua scripting.What You'll LearnUnderstand the fundamentals of programming in LUAImplement a basic ¿Hello-World¿ modAdd a new graphical user interface to your modUse hook scripts to extend base game featuresPublish your mod on the official Farming Simulator ModHub Who This Book Is ForCreators who want to add new features to Farming Simulator; game developers who want to learn a new programming language for modding purposes, and anyone who wants to expand their knowledge of programming and scripting.

Acquire the knowledge needed to work effectively in conversational artificial intelligence (AI) and understand the opportunities and threats it can potentially bring. This book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, conversational AI platforms, multi-modality, and ultimately autonomous agents.In this new world, decisions are made by a system that may forever remain a ¿black box¿ for most of us. This book aims to eliminate unnecessary noise and describe the fundamental components of conversational AI. Past experiences will prove invaluable in constructing seamless hybrid systems. This book will provide the most recommended solutions, recognizing that it is not always necessary to blindly pursue new tools.Written in unprecedented and turbulent times for conversational interfaces yoüll see that despite previous waves of advancement in conversational technology, now conversational interfaces are gaining unparalleled popularity. Specifically, the release of ChatGPT in November 2022 by Open AI revolutionized the conversational paradigm and showed how easy and intuitive communication with a computer can be. Old professions are being disrupted, new professions are emerging, and even the most conservative corporations are changing their strategy and experimenting with large language models, allocating an unprecedented amount of budget to these projects. No one knows for sure the exact future of conversational AI, but everyone agrees that it¿s here to stay. What You'll LearnSee how large language models are constructed and used in conversational systems Review the risks and challenges of new technologies in conversational AI Examine techniques for prompt engineering Enable practitioners to keep abreast of recent developments in conversational AIWho This Book Is For Conversation designers, product owners, and product or project managers in conversational AI who wish to learn about new methods and challenges posed by the recent emergence in the public domain of ChatGPT. Data scientists, final year undergraduates and graduates of computer science

"This book should be mandatory reading for C-suite executives and board members. It shows you how to move from viewing cybersecurity as a risk to avoid, and a cost center that does not add value and is overhead, to seeing cybersecurity as an enabler and part of your core strategy to transform your business and earn customer and stakeholder trust."-Paul Connelly, First CISO at the White House and HCA HealthcareThis book will help you learn the importance of organizations treating enterprise cyber risk management (ECRM) as a value creator, a business enabler, and a mechanism to create a competitive advantage. Organizations began to see the real value of information and information technology in the mid-1980s. Forty years later, it's time to leverage your ECRM program and cybersecurity strategy in the same way.The main topics covered include the case for action with specific coverage on the topic of cybersecurity as a value creator,including how the courts, legislators, and regulators are raising the bar for C-suite executives and board members. The book covers how the board's three primary responsibilities (talent management, strategy, and risk management) intersect with their ECRM responsibilities.ECRM was once solely focused on managing the downside of risk by defending the organization from adversarial, accidental, structural, and environmental threat sources. Author Bob Chaput presents the view that we must focus equally on managing the upside of cyber strengths to increase customer trust and brand loyalty, improving social responsibility, driving revenue growth, lowering the cost of capital, attracting higher quality investments, creating competitive advantage, attracting and retaining talent, and facilitating M&A work. He focuses on the C-suite and board role in the first part and provides guidance on their roles and responsibilities, the most important decision about ECRM they must facilitate,and how to think differently about ECRM funding. You will learn how to the pivot from cost-center thinking to value-center thinking.Having built the case for action, in the second part, the book details the steps that organizations must take to develop and document their ECRM program and cybersecurity strategy. The book first covers how ECRM must be integrated into business strategy. The remainder of that part presents a sample table of contents for an ECRM Program and Cybersecurity Strategy document and works through each section to facilitate development of your own program and strategy. With all the content and ideas presented, you will be able to establish, implement, and mature your program and strategy.

This book is a comprehensive guide for employing Terraform in infrastructure as code automation, and its application to infrastructure operations. Reverse Engineering with Terraform begins with an introduction to Terraform¿s core functionalities, including state files, configuration files, and providers, followed by a deep dive into the tool. Yoüll then learn how to pinpoint problems with Terraform automation and how reverse engineering can help you resolve them. Drilling down, authors Sumit Bhatia and Chetan Gabhane walk you through the various steps in reverse engineering with an eye towards more effective Terraform integration with preexisting and legacy IT infrastructure. Using a real-world reverse engineering example, they demonstrate how to import a preexisting resource into your infrastructure, which can help you develop an automatable and scalable method for Terrraform adoption. Yoüll also learn how to create reusable, shareable components to streamline infrastructure code and foster collaboration within teams, and advanced techniques for using Terraform to optimize infrastructure provisioning, configuration, and management. Filled with real-world case studies, tips and tricks, and best practices, this book will leave you with a thorough understanding of the infrastructure as code paradigm, and how to leverage Terraform automation with legacy as well as modern IT infrastructure. What You Will Learn Understand Terraform and its infrastructure automation capabilities Explore how Terraform can be used with other platforms like AWS, Azure and VMware Master the basic concepts of reverse engineering for legacy infrastructure entities Enable Terraform in legacy IT environments through reverse engineering Who This Book Is ForIT architects, admins, technical managers, and infrastructure solution experts.Minimal knowledge of Python programming is the only prerequisite.

This book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI.  But the focus has been on applying the technology to predictions - which is known as analytical AI.  It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI.  The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie - at very little cost. This is all part of generative AI. It's still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous.  It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions.

Modern startups are on an assembly line from seed to later-stage series financing. As they make that journey, founders need to have a working knowledge of dozens of fields if they're going to scale a company. SaaS is a unique set of skills across those disciplines.This book focuses on gaining a working understanding of what specialists will do in those fields as an organization grows and how founders can leverage the basics to get those capabilities started so once professionals are hired in each, they can hit the ground running with authentic materials. Founders will be pulled in a lot of directions as they find success, so the book looks at what to do with each discipline at each stage of growth.The hardest part to creating a startup is to just start the thing. This book covers when to bootstrap, apply to accelerators, seek seed capital - and where to do those things. It also covers some of the earlier questions like how to write a mission statement, where to find investors, what technical stacks to use, how to HR, how to sell, and more importantly, when a founder should spend time on each discipline. A way to look at the tech stack and the ever-changing landscape to keep technical debt low and the ability to respond to ever-changing market forces high. What You'll LearnThe nuts and bolts of which type of corporation to found, impacts to taxes, equity, and of course more philosophy.Researching, pricing, and planning to take that wonderful innovation to market and expanding into a portfolio.Leadership styles-each has its place and so we look at ways to level up that domain Management-going beyond inspiration, from those regularly scheduled meetings to helping people grow to task managemen.Basic accounting and finance skills with terms and guidance on revenue treatmentWho This Book Is ForPeople thinking of or starting a software/SaaS company. Could be useful for first timers or those on their third startup.

Many books have been written about software testing, but most of them discuss the general framework of testing from a traditional perspective. Unfortunately, traditional test design techniques are often ineffective and unreliable for revealing the various kinds of faults that may occur. This book introduces three new software testing techniques: Two-Phase Model-Based Testing, the Action-State Testing, and the General Predicate Testing, all of which work best when applied with efficient fault revealing capabilities.Yoüll start with a short recap of software testing, focusing on why risk analysis is obligatory, how to classify bugs practically, and how fault-based testing can be used for improving test design. Yoüll then see how action-state testing merges the benefits of state transition testing and use case testing into a unified approach. Moving on yoüll look at general predicate testing and how it serves as an extension of boundary value analysis, encompassing more complex predicates. Two-phase model-based testing represents an advanced approach where the model does not necessarily need to be machine-readable; human readability suffices. The first phase involves a high-level model from which abstract tests are generated. Upon manual execution of these tests, the test code is generated. Rather than calculating output values, they are merely checked for conformity. The last part of this book contains a chapter on how developers and testers can help each other and work as a collaborative team. You will:Apply efficient test design techniques for detecting domain faultsWork with modeling techniques that combine all the advantages of state transition testing and use case testingGrasp the two-phase model-based testing techniqueUse test design efficiently to find almost all the bugs in an application

Discover the key to digital transformation success in this comprehensive guide. In today's rapidly advancing technological landscape, companies are promised innovative business models, enhanced customer experiences, and productivity improvements through digital initiatives. However, it's disheartening that 70% of these endeavors fail to meet their goals, resulting in lost investments and frustrated stakeholders. The root cause of these failures often lies in the lack of alignment across organizations. Achieving alignment is crucial, encompassing both vertical alignment ¿ which involves aligning goals from the CEO down to even low-level single contributors ¿ and horizontal alignment ¿ which enables seamless collaboration across functional areas. To address this challenge, Digital Transformation Success introduces Process Inventory, a powerful framework that not only establishes a common language but also aligns resources throughout the organization, driving a new level of operating efficiency and agility necessary to thrive in this digital era.This book delves beyond guiding principles, providing you with detailed methods, modeling techniques, operating models, and real-world case studies. By leveraging the Process Inventory framework, your organization can enhance existing disciplines like Change Management, Risk Management, and Operational Excellence, enabling effective digital technology design and propelling you into the forefront of the digital age.

Explore the possibilities spatial computing and its integration with AI can provide beyond the confines of a traditional user interface. Spatial computing brings together physical and virtual worlds and systems. This book offers an insightful journey into harmonizing user-centered design with the vast potential of AI in spatial computing. You'll start by exploring key concepts and processes in relation to conscious design and traditional computer interfaces. You'll then be introduced to the Mindful Spatial Design Framework (MSDF) and the rapidly evolving world of generative AI and its potential to transform design processes.Once the key concepts are mastered, you'll start to put them into practice and see how to design, prototype, and test interfaceless systems and environments that are seamless and user-friendly. In doing so you'll consider topics such as functionality and aesthetics, as well as how AI can improve automation and testing. The book concludes by looking at ethical AI considerations and best practices as well as looking at next steps and future developments of spatial computing and interfaceless design. As these invisible interfaces become more prevalent, understanding the key principles of conscious design is pivotal. Interfaceless will expand your knowledge base in these areas. What You'll LearnIncorporate conscious design principles in spatial computing projects.Leverage AI to enhance UX in spatial contexts.Develop strategies to address design challenges as we move beyond physical interfaces.See how VR/XR apps, devices, and generative AI are rapidly changing how we perceive and interact with the digital realm.Who This Book Is ForUX/UI designers, developers, and tech enthusiasts eager to grasp the future of HCI.

Leverage the benefits of quantum computing by identifying business use cases and understanding how to design and develop quantum products and services. This book will guide you to effectively productize quantum computing, including best practices, recommendations, and proven methods to help you navigate the challenges and risks of this emerging technology.The book starts with a thorough introduction to quantum computing, followed by its various algorithms and applications. You will then learn how to build a strong foundation in classical computing, seek practical experience, and stay up-to-date with the latest developments in the field. Moving forward, you will gain an understanding of how to conduct market research to identify business opportunities for quantum computing products and services. The authors then guide you through the process of developing a quantum roadmap and integrating quantum computing into an existing system. This is concluded by a demonstration of howto manage quantum computing projects and how to address their risks and challenges. After reading this book, you will understand quantum computing and how it can be applied to real-world business problems.What You Will LearnIdentify business use cases for quantum computing and understand the potential benefits and risks of quantum applicationsDesign and develop quantum products and services by identifying quantum algorithms, programming in quantum languages, and leveraging quantum simulators and hardwareIntegrate quantum computing into existing systemsIntegrate quantum algorithms with classical algorithmsWho This Book Is ForProduct managers, developers, and entrepreneurs who wish to use the potential of quantum computing for their businesses.