Название: Scripting Farming Simulator with Lua: Unlocking the Virtual Fields
Автор: Zander Brumbaugh, Manuel Leithner
Издательство: Apress
Год: 2024
Страниц: 343
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Create mods using the popular game Farming Simulator with Lua, a versatile scripting language that can run on various platforms and applications. This guide 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 Lua is the ultimate guide to mastering Lua scripting. For creators 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.

Название: .NET Core For Machine Learning: Build Smart, Fast, And Reliable Solutions
Автор: Hayden Van Der Post, Mike Smith
Издательство: Reactive Publishing
Год: 2023
Страниц: 361
Язык: английский
Формат: pdf
Размер: 32.1 MB

.NET Core For Machine Learning" is an advanced guide designed for professionals seeking to enhance their expertise in Data Science and Machine Learning using the capabilities of .NET Core 3.1. This cutting-edge resource provides valuable insights and techniques to bolster analytical skills and leverage the robust features of .NET Core 3.1 in the field of Machine Learning. As you dive deeper into this comprehensive book, you will discover a treasure trove of sophisticated techniques to elevate your expertise. It is specifically crafted for readers who were captivated by the top-selling predecessors but are now craving more complex challenges and solutions. With each chapter, you are presented with a rich array of real-world projects, designed to push the boundaries of your knowledge and skills. Implement smart algorithms, build fast and reliable data processing pipelines, and create interactive Machine Learning models that can seamlessly scale to meet the demanding needs of today's data-driven industry. ".NET Core For Machine Learning" is not just a technical manual; it is your gateway to mastering the art of Machine Learning and transforming data into actionable knowledge. Whether you're looking to revolutionize your business strategy or innovate within your technical team, this book will prove an invaluable asset on your quest for excellence. Your journey towards becoming a Data Science maestro begins here.

Название: C# Programming: Mastering Versatile Software Development
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mastering Programming Languages Series
Год: December 24, 2023
Страниц: 560
Язык: английский
Формат: pdf
Размер: 43.8 MB

Unlock the gateway to a glamorous and thriving software development career with "C# Programming: Mastering Versatile Software Development." Whether you're an aspiring coder or a seasoned developer, this book is your comprehensive guide to mastering the dynamic world of C# programming. In the realm of modern software development, C# stands tall as a powerhouse language, seamlessly blending versatility with cutting-edge capabilities. This book unveils the secrets behind C#'s prevalence in the industry and how it has become a linchpin for developers worldwide. Embark on a journey that transcends traditional boundaries. C# finds its place in desktop applications, web development, game design, and mobile apps. The language's integration with the .NET framework ensures your code's adaptability across Windows, Linux, and macOS, while also making waves in the cloud computing arena. Dive into the rich tapestry of programming paradigms and models that C# effortlessly supports. Whether you're inclined towards object-oriented programming (OOP), functional programming, or asynchronous coding, C# provides a harmonious environment for innovation. Explore the power of LINQ (Language Integrated Query) and leverage the extensive class libraries of the .NET framework. This book isn't just a read; it's an experiential journey. From the fundamentals of variables and control structures to advanced topics like asynchronous programming and Windows Presentation Foundation (WPF), each chapter is crafted to elevate your skills. Practical hands-on exercises ensure that you not only understand the concepts but also master their application. Picture yourself as a master of C#, seamlessly navigating the evolving landscape of software development. This book equips you with the skills that employers crave, making you an indispensable asset in the job market. Whether you're looking to kickstart your career or take it to new heights, the benefits of mastering C# extend far beyond the pages of this book.

Название: C# 12 in a Nutshell: The Definitive Reference
Автор: Joseph Albahari
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 1086
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.8 MB

When you have questions about C# 12 or .NET 8, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, and with its continual growth, there's always so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today. Aimed at intermediate and advanced programmers, this is a book whose explanations get straight to the point, covering C#, the CLR, and the core .NET libraries in depth without long intros or bloated samples. This book targets intermediate to advanced audiences. No prior knowledge of C# is required, but some general programming experience is necessary. For the beginner, this book complements, rather than replaces, a tutorial-style introduction to programming. This book is an ideal companion to any of the vast array of books that focus on an applied technology such as ASP.NET Core or Windows Presentation Foundation (WPF). C# 12 in a Nutshell covers the areas of the language and .NET that such books omit, and vice versa.

Название: Python Programming for Economics and Finance
Автор: Thomas J. Sargent, John Stachurski
Издательство: QuantEcon
Год: Dec 20, 2023
Страниц: 365
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book presents a set of lectures on Python programming for economics and finance. This is the first text in the series, which focuses on programming in Python. Python is a general-purpose language used in almost all application domains such as: communications, web development, CGI and graphical user interfaces, game development, resource planning, multimedia, Data Science, security, etc., etc., etc. For reasons we will discuss, Python is particularly popular within the scientific community and behind many scientific achievements in: Space Science, Particle Physics, Genetics and practically all branches of academia. Meanwhile, Python is also very beginner-friendly and is found to be suitable for students learning programming and recommended to introduce computational methods to students in fields other than Computer Science. Python is also replacing familiar tools like Excel as an essential skill in the fields of finance and banking.

Автор: Д. Уолш
Название: Руководство по созданию документации для математического обеспечения
Издательство: М:, Наука
Год: 1975
Страниц: 128
Формат: DJVU, PDF
Размер: 5,2 МБ
Основное содержание книги — модели текстовой документации, показывающие, как следует описывать те или иные элементы математического обеспечения ЭВМ, как составлять общие описания, описания операционной системы, описания библиотечных программ. Книга предназначена для специалистов по системному программированию и математическому обеспечению, разработчиков машин, а также для студентов соответствующих специальностей.

Название: Neural Networks for Beginners: Comprehensive Guide to Understanding the Power of Artificial Intelligence
Автор: Sam Campbell
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf
Размер: 24.9 MB

Dive into the foundations of Artificial Intelligence, demystifying the core concept of Neural Networks. From the basics of neurons and synapses to the intricate architecture of these intelligent systems, each chapter unfolds the secrets behind the machines that can learn, adapt, and make decisions on their own. Learn the building blocks of neural networks, from activation functions to the crucial role of data in training these intelligent systems. Gain insights into popular neural network architectures, including feedforward networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs), exploring their applications in image recognition, natural language processing, and more. Practicality meets theory as you discover the tools and frameworks powering neural networks, with an introduction to TensorFlow, PyTorch, and the user-friendly Keras. Explore the world of ethical considerations in AI, delving into issues of bias, fairness, and transparency that accompany the development of intelligent systems. Whether you're a student, enthusiast, or professional seeking to grasp the fundamentals, "Neural Networks Unveiled" empowers you with the knowledge to navigate the evolving landscape of Artificial Intelligence. Embark on your journey into the future—where machines learn, adapt, and innovate alongside us. "Neural Networks Unveiled" is your key to unlocking the mysteries of Artificial Intelligence and embracing the limitless possibilities that lie ahead.

Название: Principles and Applications of Quantum Computing Using Essential Math
Автор: A. Daniel, M. Arvindhan, Kiranmai Bellam, N. Krishnaraj
Издательство: IGI Global
Год: 2023
Страниц: 252
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and Applications of Quantum Computing Using Essential Math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of Quantum Machine Learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and Applications of Quantum Computing Using Essential Math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains. Emerging technologies, including quantum information science and artificial education systems, have the potential to have significant implications for the future of human civilization. Quantum information, on the one hand, and Machine Learning (ML) and Artificial Intelligence (AI), on the other, consume their personal unique set of queries and contests that have been studied in isolation up until now. However, a recent study is starting to examine whether these disciplines can teach one another anything useful.

Название: Machine Learning and Optimization for Engineering Design
Автор: Apoorva S. Shastri, Kailash Shaw, Mangal Singh
Издательство: Springer
Год: 2023
Страниц: 175
Язык: английский
Формат: pdf (true), epub
Размер: 35.5 MB

This book aims to provide a collection of state-of-the-art scientific and technical research papers related to Machine Learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, Machine Learning, Artificial Intelligence, modified/newly developed Machine Learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here. There are several deterministic and approximation-based optimization methods that have been developed by the researchers, such as branch-and-bound techniques, simplex methods, approximation and Artificial Intelligence-based methods such as evolutionary methods, Swarm-based methods, physics-based methods, socio-inspired methods, etc. In the paper "OpenCV and MQTT Based Intelligent Management System", a system is proposed which is intelligent and can perform identification, counting, and calculation of density of vehicles. After calculating the traffic density, the system classifies the density into low, medium, and high density with the help of a decision algorithm. This system is based on Python programming, and the libraries used in Python are Open-source Computer Vision, NumPy, Chardet, and time library.

Название: Jumping Computation: Updating Automata and Grammars for Discontinuous Information Processing
Автор: Alexander Meduna, Zbyněk Křivka
Издательство: CRC Press
Год: 2024
Страниц: 294
Язык: английский
Формат: pdf (true)
Размер: 14.5 MB

Jumping Computation: Updating Automata and Grammars for Discontinuous Information Processing is primarily a theoretically oriented treatment of jumping automata and grammars, covering all essential theoretical topics concerning them, including their power, properties, and transformations. From a practical viewpoint, it describes various concepts, methods, algorithms, techniques, case studies and applications based upon these automata and grammars. In today’s computerized world, the scientific development and study of computation, referred to as the theory of computation, plays a crucial role. One important branch, language theory, investigates how to define and study languages and their models, which formalize algorithms according to which their computation is executed. These language-defining models are classified into two basic categories: automata, which define languages by recognizing their words, and grammars, which generate them. Introduced many decades ago, these rules reflect classical sequential computation. However, today’s computational methods frequently process information in a fundamentally different way, frequently “jumping” over large portions of the information as a whole. This book adapts classical models to formalize and study this kind of computation properly. Simply put, during their language-defining process, these adapted versions, called jumping automata and grammars, jump across the words they work on.