Clip Studio Paint by Example. Understand how to use CSP in a faster and more productive way for concept art, illustrations, and comics

Ludovico Serra

Clip Studio Paint is powerful art software that can help you create artistic work with its in-built material organizer, 3D integration, and group work features. It also provides other features that can speed up the workflow of illustrators, concept artists, and comic artists. With Clip Studio Paint by Example, you’ll learn how to use CSP effectively for a wide variety of artistic purposes.The book starts by helping you create the right workspace for concept art, illustration, and comics. You’ll create a brush, set up a canvas, and develop an auto-auction. Along with covering how to work with CS Modeler that comes bundled with CSP, this book shows you how to import and rig characters easily. You’ll then create reusable changeable scenes and a 3D human character in Blender before exploring concept art, illustrations, comics, and how to create your own portfolio. The book features a glossary with brief explanations of all the main CSP functions. The focus of the book is not on drawing or painting but on helping you enhance your artistic skills using Clip Studio Paint to create an impressive portfolio.By the end of this book, you’ll be able to use the impressive capabilities of CSP to create beautiful digital art in a productive way.

ASP.NET Core 3 and React. Hands-On full stack web development using ASP.NET Core, React, and TypeScript 3

Carl Rippon

Microsoft's ASP.NET Core is a robust and high-performing cross-platform web API framework, and Facebook's React uses declarative JavaScript to drive a rich, interactive user experience on the client-side web. Together, they can be used to build full stack apps with enhanced security and scalability at each layer.This book will start by taking you through React and TypeScript components to build an intuitive single-page application. You’ll understand how to design scalable REST APIs that can integrate with a React-based frontend. You’ll get to grips with the latest features, popular patterns, and tools available in the React ecosystem, including function-based components, React Router, and Redux. The book shows how you can use TypeScript along with React to make the frontend robust and maintainable. You’ll then cover important .NET Core features such as API controllers, attribute routing, and model binding to help you build a sturdy backend. Additionally, you’ll explore API security with ASP.NET Core identity and authorization policies, and write reliable unit tests using both .NET Core and React before you deploy your app to the Azure cloud.By the end of the book, you’ll have gained all the knowledge you need to enhance your C# and JavaScript skills and build full stack, production-ready applications with ASP.NET Core and React.

An Atypical ASP.NET Core 5 Design Patterns Guide. A SOLID adventure into architectural principles, design patterns, .NET 5, and C#

Carl-Hugo Marcotte, Abdelhamid Zebdi

Design patterns are a set of solutions to many of the common problems occurring in software development. Knowledge of these design patterns helps developers and professionals to craft software solutions of any scale.ASP.NET Core 5 Design Patterns starts by exploring basic design patterns, architectural principles, dependency injection, and other ASP.NET Core mechanisms. You’ll explore the component scale as you discover patterns oriented toward small chunks of the software, and then move to application-scale patterns and techniques to understand higher-level patterns and how to structure the application as a whole. The book covers a range of significant GoF (Gangs of Four) design patterns such as strategy, singleton, decorator, facade, and composite. The chapters are organized based on scale and topics, allowing you to start small and build on a strong base, the same way that you would develop a program. With the help of use cases, the book will show you how to combine design patterns to display alternate usage and help you feel comfortable working with a variety of design patterns. Finally, you’ll advance to the client side to connect the dots and make ASP.NET Core a viable full-stack alternative.By the end of the book, you’ll be able to mix and match design patterns and have learned how to think about architecture and how it works.

Learn T-SQL Querying. A guide to developing efficient and elegant T-SQL code - Second Edition

Pedro Lopes, Pam Lahoud

Data professionals seeking to excel in Transact-SQL for Microsoft SQL Server and Azure SQL Database often lack comprehensive resources. Learn T-SQL Querying second edition focuses on indexing queries and crafting elegant T-SQL code enabling data professionals gain mastery in modern SQL Server versions (2022) and Azure SQL Database. The book covers new topics like logical statement processing flow, data access using indexes, and best practices for tuning T-SQL queries.Starting with query processing fundamentals, the book lays a foundation for writing performant T-SQL queries. You’ll explore the mechanics of the Query Optimizer and Query Execution Plans, learning to analyze execution plans for insights into current performance and scalability. Using dynamic management views (DMVs) and dynamic management functions (DMFs), you’ll build diagnostic queries. The book covers indexing and delves into SQL Server’s built-in tools to expedite resolution of T-SQL query performance and scalability issues. Hands-on examples will guide you to avoid UDF pitfalls and understand features like predicate SARGability, Query Store, and Query Tuning Assistant. By the end of this book, you‘ll have developed the ability to identify query performance bottlenecks, recognize anti-patterns, and avoid pitfalls

Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

Gerald Turkington, GABRIELE MODENA

Incident Response for Windows. Adapt effective strategies for managing sophisticated cyberattacks targeting Windows systems

Anatoly Tykushin, Svetlana Ostrovskaya, Dmitry Volkov

Cybersecurity threats are constantly evolving, posing serious risks to organizations. Incident Response for Windows, by cybersecurity experts Anatoly Tykushin and Svetlana Ostrovskaya, provides a practical hands-on guide to mitigating threats in Windows environments, drawing from their real-world experience in incident response and digital forensics.Designed for cybersecurity professionals, IT administrators, and digital forensics practitioners, the book covers the stages of modern cyberattacks, including reconnaissance, infiltration, network propagation, and data exfiltration. It takes a step-by-step approach to incident response, from preparation and detection to containment, eradication, and recovery. You will also explore Windows endpoint forensic evidence and essential tools for gaining visibility into Windows infrastructure. The final chapters focus on threat hunting and proactive strategies to identify cyber incidents before they escalate.By the end of this book, you will gain expertise in forensic evidence collection, threat hunting, containment, eradication, and recovery, equipping them to detect, analyze, and respond to cyber threats while strengthening your organization's security posture

101 UX Principles. Actionable Solutions for Product Design Success - Second Edition

Will Grant

“This updated version of 101 UX Principles is a delight. It's an educational and fun provocation to look at the world of UX differently – solidly from the user's point of view.-Elizabeth Churchill, Director of User Experience, Google“A phenomenal reference guide. Complete with case studies, a record of personal experience, and visual examples, Grant makes it clear why these techniques have found their way into the canon of UX best practices.”-Jeff Gothelf, Author of Lean UX“..I recommend it to anyone looking to learn the basics and also for more experienced designers - the author’s candid opinions will force you to revisit some of your established assumptions!-Anne Marie-Leger, Staff Product Designer, Shopify“An absolute must-read, not only for UX designers, but this book is also super relevant for product managers trying to get better at product usability. Two enthusiastic thumbs up!-Trent Blakely, Sr. Product Manager, EquinixThis book is a manifesto of UX/UI design best practices to help you put the focus back on what really matters: the user. From UX laws to practical UI, color, typography, and accessibility advice, it’s all packed into this easy-to-consult and fun read:Essential UX lawsHandy best practicesSnippets of technical knowledge for anyone who wants to work in the digital space101 UX Principles demonstrates the success from best-in-class products and leads the way to delight your users. Keep it on your desk for quick reference, send as a gift to colleagues to build allies, or brandish it as your weapon of choice during meetings to fight for your users’ right to a better digital experience.Sneak a peek at some of the new and updated principles in this UX design book:Work with user expectations, not against themMake interactive elements obvious and discoverableOptimize your interface for mobileStreamline creating and entering passwordsRespect users' time and effort in your formsUse animation with care in user interfacesHow to handle destructive user actionsChatbots are usually a bad idea – and how to make them betterUse A/B testing to test your ideasLet users give feedback, but don't hassle themMake it clear to users if they're joining or signing-inOnly use modal views for blocking actionsHow complexity can be good for some users

Machine Learning Hero. Master Data Science with Python Essentials

Cuantum Technologies LLC

This book takes you on a journey through the world of machine learning, beginning with foundational concepts such as supervised and unsupervised learning, and progressing to advanced topics like feature engineering, hyperparameter tuning, and dimensionality reduction. Each chapter blends theory with practical exercises to ensure a deep understanding of the material.The book emphasizes Python, introducing essential libraries like NumPy, Pandas, Matplotlib, and Scikit-learn, along with deep learning frameworks like TensorFlow and PyTorch. You’ll learn to preprocess data, visualize insights, and build models capable of tackling complex datasets. Hands-on coding examples and exercises reinforce concepts and help bridge the gap between knowledge and application.In the final chapters, you'll work on real-world projects like predictive analytics, clustering, and regression. These projects are designed to provide a practical context for the techniques learned and equip you with actionable skills for data science and AI roles. By the end, you'll be prepared to apply machine learning principles to solve real-world challenges with confidence.