Название: Computer Graphics Programming in OpenGL Using C++, Third Edition
Автор: V. Scott Gordon, John Clevenger
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 589
Язык: английский
Формат: pdf (true), epub (true)
Размер: 40.0 MB, 80.7 MB

This updated edition includes step-by-step instruction on modern OpenGL 4.0+ GLSL shader programming with C++, along with the theoretical foundations of 3D computer graphics. Every shader stage is explored, from the basics of modeling, textures, lighting, shadows, etc., through advanced techniques such as tessellation, noise maps, water, and stereoscopy. This new edition includes expanded coverage of camera control, refraction, and a new chapter on ray tracing with bounding volume hierarchies for complex models. The companion files include all the source code, shaders, model files, skyboxes, etc., needed to run every example in the book. This book teaches OpenGL programming in C++. It is worth mentioning that there do exist other language bindings for OpenGL. Popular alternatives exist for Java, C#, Python, and many others. This textbook focuses only on C++.

Название: Python Asynchronous Web Development with asyncio: No more waiting screens or unresponsive interfaces! Write clean, maintainable code that prioritizes readability. Build Scalable Applications, conquer Starlette, Quart and more!
Автор: Katie Millie
Издательство: Independently published
Серия: Python Trailblazer’s Bible
Год: 2024
Страниц: 188
Язык: английский
Формат: pdf
Размер: 32.7 MB

Tired of Laggy Web Apps? Unleash Python's Asynchronous Power: Build Blazing-Fast, Engaging Experiences (Even if You're New!). In today's hyper-connected world, users demand instantaneous web experiences. But traditional web development often struggles to keep up, leaving users frustrated with slow loading times and unresponsive interfaces. There's a better way: Python Asynchronous Web Development with asyncio. This book is your launchpad to building the next generation of web applications. We'll equip you with the skills to master asyncio, a revolutionary library that lets your applications handle multiple user requests simultaneously. The result? Web applications that feel instant, even under heavy traffic. Effortless Responsiveness: Build applications that feel lightning-fast! No more waiting screens or unresponsive interfaces. Your users will be delighted with the instant experience, keeping them engaged and coming back for more. Unleash Python's True Potential: Combine the elegance of Python with the speed of asynchronous programming. Write clean, maintainable code that prioritizes readability while achieving unparalleled performance. Become an In-Demand Developer: Asynchronous programming is a highly sought-after skill in the ever-growing web development landscape. This book prepares you with the knowledge and experience to stand out from the crowd and land your dream job.

Название: Ethical Hacking with Python: Developing Cybersecurity Tools
Автор: Nate Phoetean
Издательство: Independently published
Год: 2024
Страниц: 432
Язык: английский
Формат: pdf
Размер: 38.5 MB

Dive into the world of cybersecurity with "Ethical Hacking with Python: Developing Cybersecurity Tools," a comprehensive guide designed to elevate your skills in protecting digital assets against ever-evolving threats. This book meticulously unfolds the landscape of ethical hacking and the pivotal role Python plays in it, offering a deep dive into the art and science of identifying vulnerabilities, exploiting them ethically, and securing systems more robustly. From setting up your own ethical hacking lab with Python to mastering network scanning, vulnerability assessment, exploitation techniques, and beyond, this guide leaves no stone unturned. Each chapter is crafted with detailed explanations, practical demonstrations, and real-world scenarios, ensuring you gain both the theoretical knowledge and hands-on experience needed to thrive in the complex realm of cybersecurity. Whether you're a cybersecurity professional seeking to deepen your expertise, a computer science student aiming to complement your education with practical skills, or a programming enthusiast curious about ethical hacking, this book is your gateway to advancing your capabilities. Embrace the opportunity to develop your own Python tools and scripts, and position yourself at the forefront of cybersecurity efforts in a world teeming with digital challenges.

Название: PYTHON без проблем. Решаем реальные задачи и пишем полезный код
Автор: Даниэль Зингаро
Издательство: Питер
Год: 2023
ISBN: 978-5-4461-1920-2
Страниц: 337
Формат: PDF
Размер: 10 Mб
Язык: Русский

Даниэль Зингаро создал книгу для начинающих, чтобы вы сразу учились решать интересные задачи, которые использовались на олимпиадах по программированию, и развивали мышление программиста. В каждой главе вам даются задания, собственные решения можно выложить на сайт и получить оценку профи. Вы на практике освоите основные возможности, функции и методы языка Python и получите четкое представление о структурах данных, алгоритмах и других основах программирования.

Название: Balancing Automation and Human Interaction in Modern Marketing
Автор: Arjun J. Nair, Sridhar Manohar, Amit Mittal
Издательство: IGI Global
Год: 2024
Страниц: 348
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

In modern marketing, a pivotal challenge has surfaced - finding the delicate balance between automation and human interaction. This challenge stems from the rapid advancement of Artificial Intelligence (AI) technologies, which, while promising unparalleled efficiency and innovation, also lack the personal touch inherent in traditional marketing. As AI gains prominence, marketers grapple with integrating automated processes while preserving the authenticity and emotional resonance that human engagement brings. Balancing Automation and Human Interaction in Modern Marketing positions itself as a guiding force in achieving balance amid the changing marketing landscape. Within the pages of this book lies a comprehensive exploration of contemporary marketing challenges centered on striking the right balance between automation and human interaction. The quest for optimal equilibrium threads through topics such as elevating customer experiences, scalable personalization through AI, emotional intelligence in marketing, and the critical role of human-centered design. By addressing these challenges head-on, the book provides practical advice for implementing AI in marketing but positions ethics at the forefront. It advocates for responsible AI-driven marketing, fostering trust, and ensuring that the human touch remains a cornerstone of brand-consumer relationships. Designed for a diverse audience, encompassing marketers, business leaders, AI developers, educators, and consumers, the book serves as a resource for dealing with the complexities of AI-driven marketing. With recommended topics spanning from the impact of AI on customer experience to the importance of diverse perspectives in AI development, the book caters to the various interests of its readers.

Название: Computational Stochastic Programming: Models, Algorithms, and Implementation
Автор: Lewis Ntaimo
Издательство: Springer
Год: 2024
Страниц: 518
Язык: английский
Формат: pdf (true), epub
Размер: 40.5 MB

This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm implementation. The purpose of this book is to provide a foundational and thorough treatment of the subject with a focus on models and algorithms and their computer implementation. The book’s most important features include a focus on both risk-neutral and risk-averse models, a variety of real-life example applications of stochastic programming, decomposition algorithms, detailed illustrative numerical examples of the models and algorithms, and an emphasis on computational experimentation. With a focus on both theory and implementation of the models and algorithms for solving practical optimization problems, this monograph is suitable for readers with fundamental knowledge of linear programming, elementary analysis, probability and statistics, and some computer programming background. Several examples of stochastic programming applications areincluded, providing numerical examples to illustrate the models and algorithms for both stochastic linear and mixed-integer programming, and showing the reader how to implement the models and algorithms using computer software.

Название: Methodologies, Frameworks, and Applications of Machine Learning
Автор: Pramod Kumar Srivastava, Ashok Kumar Yadav
Издательство: IGI Global
Год: 2024
Страниц: 315
Язык: английский
Формат: pdf (true), epub
Размер: 36.4 MB

In the ever-evolving landscape of technology, Machine Learning stands as a beacon of innovation with the potential to reshape industries and redefine our daily lives. As editors of this comprehensive reference book, Methodologies, Frameworks, and Applications of Machine Learning, we are thrilled to present a compendium that encapsulates the essence of the latest advancements, theoretical foundations, and practical applications in the realm of Machine Learning. Technology is constantly evolving, and Machine Learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest Machine Learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine Learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. The Chapter 2 focuses on practical implementations of Machine Learning projects using Scikit-learn and TensorFlow libraries in Python. Four distinct projects unfold, each addressing classification, regression, and image classification problems. The step-by-step walkthrough covers model evaluation using classical Machine Learning techniques and deep neural networks.

Название: Jetpack Compose 1.5 Essentials: Developing Android Apps with Jetpack Compose 1.5, Android Studio, and Kotlin
Автор: Neil Smyth
Издательство: Payload Media, Inc.
Год: 2024
Страниц: 636
Язык: английский
Формат: epub
Размер: 10.5 MB

This book teaches you how to build Android applications using Jetpack Compose 1.5, Android Studio Hedgehog (2023.1.1), Material Design 3, and the Kotlin programming language. The book begins with the basics by explaining how to set up an Android Studio development environment. The book also includes in-depth chapters introducing the Kotlin programming language, including data types, operators, control flow, functions, lambdas, coroutines, and object-oriented programming. If you are new to Kotlin programming, the entire book is appropriate for you. An introduction to the key concepts of Jetpack Compose and Android project architecture is followed by a guided tour of Android Studio in Compose development mode. The book also covers the creation of custom Composables and explains how functions are combined to create user interface layouts, including row, column, box, flow, pager, and list components. Other topics covered include data handling using state properties and key user interface design concepts such as modifiers, navigation bars, and user interface navigation. Additional chapters explore building your own reusable custom layout components, securing your apps with Biometric authentication, and integrating Google Maps. The book covers graphics drawing, user interface animation, transitions, Kotlin Flows, and gesture handling.

Название: Robust Machine Learning Distributed Methods for Safe AI
Автор: Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2024
Страниц: 180
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Today, Machine Learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure. This could, for example, result from hardware and software bugs, data poisoning or a malicious player controlling a subset of the machines. This book explains in simple terms what it means for a distributed Machine Learning scheme to be robust to these threats, and how to build provably robust Machine Learning algorithms. Studying the robustness of Machine Learning algorithms is a necessity given the ubiquity of these algorithms in both the private and public sectors. Accordingly, over the past few years, we have witnessed a rapid growth in the number of articles published on the robustness of distributed Machine Learning algorithms. We believe it is time to provide a clear foundation to this emerging and dynamic field. By gathering the existing knowledge and democratizing the concept of robustness, the book provides the basis for a new generation of reliable and safe Machine Learning schemes. In addition to introducing the problem of robustness in modern Machine Learning algorithms, the book will equip readers with essential skills for designing distributed learning algorithms with enhanced robustness. This book is intended for students, researchers, and practitioners interested in AI systems in general, and in Machine Learning schemes in particular. The book requires certain basic prerequisites in linear algebra, calculus, and probability. Some understanding of computer architectures and networking infrastructures would be helpful.

Название: Modern API Design with gRPC: Efficient Solutions to Design Modern APIs with gRPC Using Golang for Scalable Distributed Systems
Автор: Hitesh Pattanayak
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 331
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Elevate Your Development with Effortless and Efficient API Communication. “Modern API Design with gRPC” is a definitive guide that empowers developers to leverage the full potential of gRPC in constructing efficient and scalable distributed systems. Beginning with an exploration of API evolution and its significance in software development, the book seamlessly transitions into the core concepts of gRPC architecture, protocol buffers, and stubs. Through practical examples and clear instructions, readers embark on a journey to establish their first gRPC server and client, laying a solid groundwork for further exploration. An API, or ‘Application Programming Interface,’ serves as a bridge between software components. I personally perceive the origin of APIs in the pursuit of ‘Code Reusability,’ akin to the motivation behind crafting functions. What sets APIs apart from functions is their inherent ‘Remote-ness,’ where APIs are stationed at network-accessible locations. This book caters to intermediate to advanced software developers and programmers aiming to enhance their expertise in modern API development using gRPC. Prior familiarity with fundamental software development concepts and proficiency in at least one programming language such as C++, Python, Ruby, Objective-C, PHP, C# are recommended to fully comprehend the concepts presented in this guide.