Видавець: K-i-s-publishing
Refactoring with C++. Explore modern ways of developing maintainable and efficient applications
Dmitry Danilov
Despite the prevalence of higher-level languages, C++ is still running the world, from bare-metal embedded systems to distributed cloud-native systems. C++ is on the frontline whenever there is a need for a performance-sensitive tool supporting complex data structures. The language has been actively evolving for the last two decades.This book is a comprehensive guide that shows you how to implement SOLID principles and refactor legacy code using the modern features and approaches of C++, the standard library, Boost library collection, and Guidelines Support Library by Microsoft. The book begins by describing the essential elements of writing clean code and discussing object-oriented programming in C++. You’ll explore the design principles of software testing with examples of using popular unit testing frameworks such as Google Test. The book also guides you through applying automated tools for static and dynamic code analysis using Clang Tools.By the end of this book, you’ll be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world C++ code.
Matt Eland, Steve Smith
Software projects start as brand-new greenfield projects, but invariably become muddied in technical debt far sooner than you’d expect. In Refactoring with C#, you'll explore what technical debt is and how it arises before walking through the process of safely refactoring C# code using modern tooling in Visual Studio and more recent C# language features using C# 12 and .NET 8. This book, written by a Microsoft MVP, will guide you through the process of refactoring safely through advanced unit testing with XUnit and libraries like Moq, Snapper, and Scientist .NET. You'll explore maintainable code through SOLID principles and defensive coding techniques made possible in newer versions of C#. You'll also find out how to run code analysis and write custom Roslyn analyzers to detect and resolve issues unique to your code.The nature of coding is changing, and you'll explore how to use AI with the GitHub Copilot Chat to refactor, test, document, and generate code before ending with a discussion about communicating technical debt to leadership and getting organizational buy-in to refactor your code in enterprise organizations and in agile teams.By the end of this book, you'll understand the nature of refactoring and see how you can safely, effectively, and repeatably pay down the technical debt in your application while adding value to your business.
Luca Massaron, Alberto Boschetti
Regression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. There are many kinds of regression algorithms, and the aim of this book is to explain which is the right one to use for each set of problems and how to prepare real-world data for it. With this book you will learn to define a simple regression problem and evaluate its performance. The book will help you understand how to properly parse a dataset, clean it, and create an output matrix optimally built for regression. You will begin with a simple regression algorithm to solve some data science problems and then progress to more complex algorithms. The book will enable you to use regression models to predict outcomes and take critical business decisions. Through the book, you will gain knowledge to use Python for building fast better linear models and to apply the results in Python or in any computer language you prefer.
Giuseppe Ciaburro
Regression analysis is a statistical process which enables prediction of relationships between variables. The predictions are based on the casual effect of one variable upon another. Regression techniques for modeling and analyzing are employed on large set of data in order to reveal hidden relationship among the variables.This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. The first few chapters give an understanding of what the different types of learning are – supervised and unsupervised, how these learnings differ from each other. We then move to covering the supervised learning in details covering the various aspects of regression analysis. The outline of chapters are arranged in a way that gives a feel of all the steps covered in a data science process – loading the training dataset, handling missing values, EDA on the dataset, transformations and feature engineering, model building, assessing the model fitting and performance, and finally making predictions on unseen datasets. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. The practical examples are illustrated using R code including the different packages in R such as R Stats, Caret and so on. Each chapter is a mix of theory and practical examples.By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects.
Sathish Veerapandian, Harsharanjeet Kaur, Ashok Madhvarayan, Sriram...
The outbreak of the pandemic has forced the world to embrace remote working and the modern style of virtual business. However, end users may find it challenging to cope with this sudden change in working style, not aware of all the features and remote working tools available to make their life easy. Microsoft Teams is an exceptional platform, adopted by many organizations for unified communication and collaboration, and this book will help you to make the most of its capabilities.Complete with step-by-step explanations and screenshots, this book guides you through the topics that you'll find useful in your daily use of Teams. You'll learn how to manage your teams and projects with Microsoft Teams in a structured and organized way. The book provides hands-on information with a focus on the end user side to help corporate users to increase productivity and become a Microsoft Teams superuser. Finally, you'll explore the most effective ways of using the app with best practices and tips and tricks for making the most of the features available for your scenario.By the end of this Microsoft Teams book, you'll have mastered Microsoft Teams and be fully equipped as a modern collaboration end user to effectively increase your remote work productivity.
Brian Rossney, Ciaran Kavanagh
MetaHuman Creator (MHC) is an online, user-friendly 3D design tool for creating highly realistic digital humans that can be animated within Unreal Engine (UE) and enhanced with motion capture technology. This means that filmmakers and game developers now have access to a high quality, affordable solution that was previously only available to specialist studios.This book will focus on using UE5 and MHC from a filmmaker angle. Firstly, you’ll understand how to use the online MHC to create a digital character, changing its facial structure, body type, and clothing. After that, you’ll learn all the necessary steps to bring the character into UE5 and set it up for animation. Then, using an iPhone and a webcam to capture face and body movements, you’ll mix these motion capture files, refine the animations using the MetaHuman Control Rig, and save these takes to be reused and edited again within the Level Sequencer. On top of that, you’ll learn how to create a rendered video file for film production using both the Level Sequencer and a VR Cinematic Camera. By the end of this book, you’ll have created your own MetaHuman character, as well as face and body motion capture data, and learned the necessary skills to give your future projects further realism and creative control.
Andrea Lonza
Reinforcement Learning (RL) is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behavior based on changing requirements. This book will help you master RL algorithms and understand their implementation as you build self-learning agents.Starting with an introduction to the tools, libraries, and setup needed to work in the RL environment, this book covers the building blocks of RL and delves into value-based methods, such as the application of Q-learning and SARSA algorithms. You'll learn how to use a combination of Q-learning and neural networks to solve complex problems. Furthermore, you'll study the policy gradient methods, TRPO, and PPO, to improve performance and stability, before moving on to the DDPG and TD3 deterministic algorithms. This book also covers how imitation learning techniques work and how Dagger can teach an agent to drive. You'll discover evolutionary strategies and black-box optimization techniques, and see how they can improve RL algorithms. Finally, you'll get to grips with exploration approaches, such as UCB and UCB1, and develop a meta-algorithm called ESBAS.By the end of the book, you'll have worked with key RL algorithms to overcome challenges in real-world applications, and be part of the RL research community.
Sayon Dutta
Reinforcement learning (RL) allows you to develop smart, quick and self-learning systems in your business surroundings. It's an effective method for training learning agents and solving a variety of problems in Artificial Intelligence - from games, self-driving cars and robots, to enterprise applications such as data center energy saving (cooling data centers) and smart warehousing solutions.The book covers major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. You'll also be introduced to the concept of reinforcement learning, its advantages and the reasons why it's gaining so much popularity. You'll explore MDPs, Monte Carlo tree searches, dynamic programming such as policy and value iteration, and temporal difference learning such as Q-learning and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing and NLP.By the end of this book, you will have gained a firm understanding of what reinforcement learning is and understand how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym.
Remote Usability Testing. Actionable insights in user behavior across geographies and time zones
Inge De Bleecker, Rebecca Okoroji
Usability testing is a subdiscipline of User Experience. Its goal is to ensure that a given product is easy to use and the user's experience with the product is intuitive and satisfying. Usability studies are conducted with study participants who are representative of the target users to gather feedback on a user interface. The feedback is then used to refine and improve the user interface.Remote studies involve fewer logistics, allow participation regardless of location and are quicker and cheaper to execute compared to in person studies, while delivering valuable insights. The users are not inhibited by being in a new environment under observation; they can act naturally in their familiar environment. Remote unmoderated studies additionally have the advantage of being independent of time zones.This book will teach you how to conduct qualitative remote usability studies, in particular remote moderated and unmoderated studies. Each chapter provides actionable tips on how to use each methodology and how to compensate for the specific nature of each methodology. The book also provides material to help with planning and executing each study type.
Bryan Feuling
The world of software delivery and deployment has come a long way in the last few decades. From waterfall methods to Agile practices, every company that develops its own software has to overcome various challenges in delivery and deployment to meet customer and market demands. This book will guide you through common industry practices for software delivery and deployment.Throughout the book, you'll follow the journey of a DevOps team that matures their software release process from quarterly deployments to continuous delivery using GitOps. With the help of hands-on tutorials, projects, and self-assessment questions, you'll build your knowledge of GitOps basics, different types of GitOps practices, and how to decide which GitOps practice is the best for your company. As you progress, you'll cover everything from building declarative language files to the pitfalls in performing continuous deployment with GitOps.By the end of this book, you'll be well-versed with the fundamentals of delivery and deployment, the different schools of GitOps, and how to best leverage GitOps in your teams.
Dipti Chhatrapati, Dipti Chhatrapati, Bjoern Rapp
Svetlana Karslioglu
Pachyderm is an open source project that enables data scientists to run reproducible data pipelines and scale them to an enterprise level. This book will teach you how to implement Pachyderm to create collaborative data science workflows and reproduce your ML experiments at scale.You’ll begin your journey by exploring the importance of data reproducibility and comparing different data science platforms. Next, you’ll explore how Pachyderm fits into the picture and its significance, followed by learning how to install Pachyderm locally on your computer or a cloud platform of your choice. You’ll then discover the architectural components and Pachyderm's main pipeline principles and concepts. The book demonstrates how to use Pachyderm components to create your first data pipeline and advances to cover common operations involving data, such as uploading data to and from Pachyderm to create more complex pipelines. Based on what you've learned, you'll develop an end-to-end ML workflow, before trying out the hyperparameter tuning technique and the different supported Pachyderm language clients. Finally, you’ll learn how to use a SaaS version of Pachyderm with Pachyderm Notebooks.By the end of this book, you will learn all aspects of running your data pipelines in Pachyderm and manage them on a day-to-day basis.
Resilient Cybersecurity. Reconstruct your defense strategy in an evolving cyber world
Mark Dunkerley
Building a Comprehensive Cybersecurity Program addresses the current challenges and knowledge gaps in cybersecurity, empowering individuals and organizations to navigate the digital landscape securely and effectively. Readers will gain insights into the current state of the cybersecurity landscape, understanding the evolving threats and the challenges posed by skill shortages in the field.This book emphasizes the importance of prioritizing well-being within the cybersecurity profession, addressing a concern often overlooked in the industry. You will construct a cybersecurity program that encompasses architecture, identity and access management, security operations, vulnerability management, vendor risk management, and cybersecurity awareness. It dives deep into managing Operational Technology (OT) and the Internet of Things (IoT), equipping readers with the knowledge and strategies to secure these critical areas.You will also explore the critical components of governance, risk, and compliance (GRC) within cybersecurity programs, focusing on the oversight and management of these functions. This book provides practical insights, strategies, and knowledge to help organizations build and enhance their cybersecurity programs, ultimately safeguarding against evolving threats in today's digital landscape.
Adnan Masood, Heather Dawe, Ed Price, Dr....
Responsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness, and model governance. Throughout the book, you’ll gain an understanding of FairLearn and InterpretML, along with Google What-If Tool, ML Fairness Gym, IBM AI 360 Fairness tool, and Aequitas. You’ll uncover various aspects of responsible AI, including model interpretability, monitoring and management of model drift, and compliance recommendations. You’ll gain practical insights into using AI governance tools to ensure fairness, bias mitigation, explainability, privacy compliance, and privacy in an enterprise setting. Additionally, you’ll explore interpretability toolkits and fairness measures offered by major cloud AI providers like IBM, Amazon, Google, and Microsoft, while discovering how to use FairLearn for fairness assessment and bias mitigation. You’ll also learn to build explainable models using global and local feature summary, local surrogate model, Shapley values, anchors, and counterfactual explanations.By the end of this book, you’ll be well-equipped with tools and techniques to create transparent and accountable machine learning models.
Responsive Design High Performance
Dewald C Els, Dewald Els
Frahaan Hussain
Desktop-only websites just aren't good enough anymore. As you enter a future of increasingly diverse browsing methods, you need to know how to build websites that are presentable and will work perfectly with the huge volume of different device sizes and resolutions that are now commercially available. Responsive web design is an answer to the problem of modern web development.By following the detailed step-by-step instructions, previews, and examples mentioned in this book, you will learn how to build engaging responsive websites and upgrade your skills as a web designer.With coverage of Responsive Grid System and Bootstrap, you will learn about the most powerful frameworks in responsive web design. In this book, you will learn how to create a crisp blog page, a beautiful portfolio site, a cool social networking page, and a fun photo gallery. Through each of these projects, you'll learn how to build various elements of a modern responsive website, and also find out which framework works best for your project specifications. By the end of the book, you will have gained practical skills you need to build real-world websites that are professional, creative and truly responsive.
Ben Frain
Responsive Web Design with HTML5 and CSS, Fifth Edition, is the very latest, up-to-date version of one of the bestselling books on HTML5 and CSS. It emphasizes pragmatic application, teaching the approaches needed to build websites and applications, with downloadable examples.Written in Ben's friendly and easy-to-follow style, this title can be read as a complete guide, or used as a reference for each topic.If you're a backend dev looking to understand the front of the web stack and its possibilities, or perhaps a frontend dev looking for a comprehensive resource on everything new in HTML and CSS to build the most efficient UIs, this is the book for you. Even if you are deferring your code writing to AI, this book gives you the requisite knowledge to understand the validity and efficiency of AI's output.Among the many topics, we cover approaches for better accessibility, utilizing variable fonts, explainers on the latest color manipulation techniques and functions, in-depth coverage of bleeding-edge features such as scroll-driven animations, view transitions, CSS anchor positioning, CSS layers, container queries, nesting, and much more.By the end, you'll not only have a thorough understanding of responsive web design and what's possible with the latest HTML5 and CSS, but also know how to best implement each technique.
Ben Frain
Responsive Web Design with HTML5 and CSS, Fourth Edition, is a fully revamped and extended version of one of the most comprehensive and bestselling books on the latest HTML5 and CSS techniques for responsive web design. It emphasizes pragmatic application, teaching you the approaches needed to build most real-life websites, with downloadable examples in every chapter.Written in the author's friendly and easy-to-follow style, this edition covers all the newest developments and improvements in responsive web design, including approaches for better accessibility, variable fonts and font loading, and the latest color manipulation tools making their way to browsers. You can enjoy coverage of bleeding-edge features such as CSS layers, container queries, nesting, and subgrid.The book concludes by exploring some exclusive tips and approaches for front-end development from the author.By the end of the book, you will not only have a comprehensive understanding of responsive web design and what is possible with the latest HTML5 and CSS, but also the knowledge of how to best implement each technique. Read through as a complete guide or dip in as a reference for each topic-focused chapter.
Ben Frain
Responsive Web Design with HTML5 and CSS, Third Edition is a renewed and extended version of one of the most comprehensive and bestselling books on the latest HTML5 and CSS tools and techniques for responsive web design.Written in the author's signature friendly and informal style, this edition covers all the newest developments and improvements in responsive web design including better user accessibility, variable fonts and font loading, CSS Scroll Snap, and much, much more. With a new chapter dedicated to CSS Grid, you will understand how it differs from the Flexbox layout mechanism and when you should use one over the other.Furthermore, you will acquire practical knowledge of SVG, writing accessible HTML markup, creating stunning aesthetics and effects with CSS, applying transitions, transformations, and animations, integrating media queries, and more. The book concludes by exploring some exclusive tips and approaches for front-end development from the author.By the end of this book, you will not only have a comprehensive understanding of responsive web design and what is possible with the latest HTML5 and CSS, but also the knowledge of how to best implement each technique.
Alex Libby, Gaurav Gupta, Asoj Talesra
Responsive web design (RWD) is a web design approach aimed at crafting sites to provide an optimal viewing and interaction experience—providing easy reading and navigation with minimum resizing, panning, and scrolling—and all of this across a wide range of devices from desktop computer monitors to mobile phones. Responsive web design is becoming more important as the amount of mobile traffic now accounts for more than half of the Internet’s total traffic.This book will give you in depth knowledge about the basics of responsive web design. You will embark on a journey of building effective responsive web pages that work across a range of devices, from mobile phones to smart TVs, with nothing more than standard markup and styling techniques.You'll begin by getting an understanding of what RWD is and its significance to the modern web. Building on the basics, you'll learn about layouts and media queries. Following this, we’ll dive into creating layouts using grid based templates. We’ll also cover the important topic of performance management, and discover how to tackle cross-browser challenges.