Название: Game Programming with Unity and C#: A Complete Beginner's Guide, 2nd Edition
Автор: Casey Hardman
Издательство: Apress
Год: 2024
Страниц: 428
Язык: английский
Формат: pdf (true), epub (true)
Размер: 20.7 MB

Learn the essentials of the Unity game engine, the C# programming language, and the art of object-oriented programming. This book is aimed at beginners with no knowledge or experience in game development or programming. Packed with examples, this Second Edition is up-to-date with the latest Unity standards and features as of 2023, and includes many adjustments to improve your experience. Starting with an introduction to Unity, you will learn the essentials of the engine: navigating the various windows, managing the objects that make up your game, and understanding the concepts that are fundamental to the engine. After that, you will gain a solid foundation in the concepts of object-oriented programming and the syntax of the C# language. Then the fun really begins, as you get hands-on experience building three playable example projects that drill you on the concepts you’ve learned until they stick. For beginners who have no prior experience with programming or game development, who would like to learn to create games with a solid foundation that prepares them to further develop their skills.

Название: Data Science: An Emerging Trend in Engineering, Science & Technology
Автор: Mrunalini Moon, Ankita Shende, Monika Walde, Devki Nandgaye
Издательство: Independently published
Год: 2024
Страниц: 432
Язык: английский
Формат: epub
Размер: 36.3 MB

Data Science is a deep study of the massive amount of data, which involves extracting meaningful insights from raw, structured, and unstructured data that is processed using the scientific method, different technologies, and algorithms. It is a multidisciplinary field that uses tools and techniques to manipulate the data so that you can find something new and meaningful. Some of the most popular Data science tools are Python, Hadoop, Spark, R, Tensor Flow, BigML, MATLAB, Excel, and more. NumPy stands for Numerical Python. It is a Python library used for working with an array. In Python, we use the list for purpose of the array but it’s slow to process. NumPy array is a powerful N-dimensional array object and its use in linear algebra, Fourier transform, and random number capabilities. It provides an array object much faster than traditional Python lists. Numpy has fast built-in aggregate and statistical for working on arrays. By using these function or if we have good knowledge of these functions than we will play with arrays. NumPy is a Python package which means ‘Numerical Python’. It is the library for logical computing, which contains a powerful n-dimensional array object, gives tools to integrate C, C++ and so on. Pandas is an open-source data analysis and data manipulation library written in Python. Pandas provide you with data structures and functions to work on structured data seamlessly. The name Pandas refer to “Panel Data”, which means a structured dataset. Pandas have two main classes to work on, DataFrame and Series. Data Visualization is the process of presenting data in the form of graphs or charts. Matplotlib is a low-level library of Python which is used for data visualization. It is easy to use and emulates MATLAB like graphs and visualization. This library is built on the top of NumPy arrays and consists of several plots like line chart, bar chart, histogram, etc. It provides a lot of flexibility but at the cost of writing more code.

Название: x86 Software Reverse-Engineering, Cracking, and Counter-Measures
Автор: Stephanie Domas, Christopher Domas
Издательство: Wiley
Год: 2024
Страниц: 317
Язык: английский
Формат: pdf (true), epub (true)
Размер: 15.8 MB, 39.5 MB

A crystal-clear and practical blueprint to software disassembly. x86 Software Reverse-Engineering, Cracking, and Counter-Measures is centered around the world of disassembling software. It will start with the basics of the x86 assembly language, and progress to how that knowledge empowers you to reverse-engineer and circumvent software protections. No knowledge of assembly, reverse engineering, or software cracking is required. Reverse engineering and software cracking are disciplines with a long, rich history. For decades, software developers have attempted to build defenses into their applications to protect intellectual property or to prevent modifications to the program code. The art of cracking has been around nearly as long as reverse engineers have been examining and modifying code for fun or profit. The book begins with a bootcamp on x86, learning how to read, write, and build in the assembly that powers a massive amount of the world's computers. Then the book will shift to reverse engineering applications using a handful of industry favorites such as IDA, Ghidra, Olly, and more. Next, we move to cracking with techniques such as patching and key generation, all harnessing the power of assembly and reverse engineering. Lastly, we'll examine cracking from a defensive perspective. Providing learners with techniques to be a better defender of their own software, or knowledge to crack these techniques more effectively. From security professionals to hobbyists, this book is for anyone who wants to learn to take apart, understand, and modify black-box software.

Название: Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods
Автор: Abdulsattar Abdullah Hamad, Sudan Jha
Издательство: IGI Global
Год: 2024
Страниц: 301
Язык: английский
Формат: pdf (true), epub
Размер: 18.8 MB

Engineers, researchers, and students attempting to effectively utilize numerical methods to solve complex engineering problems in today's fast-paced technological world are increasingly struggling to keep up without the necessary tools. While theoretical knowledge is vital, it can feel disconnected from practical application, leaving many ill-equipped to tackle real-world challenges. Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods offers a comprehensive understanding and hands-on experience with numerical methods, empowering you to push the boundaries of innovation. By providing practical examples of coding and real-world applications, you will be equipped with the skills to tackle dynamic systems, partial and ordinary differential equations, and other mathematical simulations confidently. The book further delves into parallel computing techniques, covering distributed memory architectures, domain decomposition, message-passing interfaces, and GPU utilization for numerical computations. Advanced topics include higher-order basis functions, adaptive mesh refinement, design optimization, multiphysics simulations, and coupling methodologies. Additionally, the book provides insights into software development and best practices, introducing programming languages used in numerical methods, software engineering principles, verification and validation of numerical models, and relevant software libraries and open-source projects.

Название: Python Programming For Game Development: A Comprehensive Guide To Creating 2D and 3D Games With Pygame and Panda3D Including Game Physics And Graphics From Scratch
Автор: Sam Codewell
Издательство: Independently published
Год: 2024
Страниц: 183
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Are you passionate about creating your own video games but unsure where to start? Do you want to learn how to develop both 2D and 3D games using Python? Are you looking for a comprehensive guide that covers everything from game physics to graphics? If so, "Python Programming For Game Development" is the ultimate resource for aspiring game developers like you! This comprehensive guide will take you through the entire game development process, using Pygame and Panda3D to bring your ideas to life. With practical examples, clear explanations, and a focus on real-world applications, this book empowers you to overcome common challenges faced by beginner game developers. You’ll gain the skills and confidence needed to turn your creative ideas into playable games. Don’t let your dreams of game development fade away! Take the first step towards becoming a skilled game developer today—grab your copy of "Python Programming For Game Development" and start creating your own games from scratch!

Название: Python-Code fur Einsteiger
Издательство: Papercut Limited
Год / месяц: September 2024
Страниц: 150
Формат: PDF
Размер: 120 MB
Язык: немецкий

"Программирование на Python для начинающих" - это первый и единственный выбор, если вы начинающий и хотите узнать все, что вам нужно, чтобы начать программировать. Это независимое руководство наполнено полезными рекомендациями и пошаговыми примерами с цветными иллюстрациями, написанными на простом и понятном английском языке. На страницах этого нового руководства вы узнаете все, что вам нужно знать о написании своих собственных потрясающих приложений. С этим неофициальным руководством по эксплуатации ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и улучшаете свой пользовательский опыт.

Название: Intelligent Systems Modeling and Simulation III: Artificial Intelligent, Machine Learning, Intelligent Functions and Cyber Security
Автор: Samsul Ariffin Abdul Karim
Издательство: Springer
Год: 2024
Страниц: 522
Язык: английский
Формат: pdf (true)
Размер: 28.4 MB

Explores advanced integration in Intelligent Systems Modeling, merging AI, math, and stats for simulations. This book continues the previous edition: Samsul Ariffin Abdul Karim (2022). Intelligent Systems Modeling and Simulation II: Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods, Studies in Systems, Decision and Control. After two years, Intelligent Systems Modeling and Simulation have evolved tremendously through the latest and advanced emergence technologies and many highly sophisticated algorithms have been developed by blending Artificial Intelligence (AI) and mathematics, statistics, data modelling and other related research areas. These blends offer many opportunities and further investigations into the overlapand equality between these areas. The main scope of the book is to develop a new system of modelling and simulations based on Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Modeling and Simulation, Cyber Security and Awareness, Intelligent Statistical Methods, Big Data Analytics, Sentiment Analytics, Intelligent Function Approximation, and Image Processing in medical imaging. This book is highly suitable for postgraduate students and researchers to get the state-of-the-art current research directions as well as for the scientists that have an interest and working in intelligent numerical modelling and simulations through AI, Machine Learning, Neural Networks, and its related counterparts.

Название: Machine Learning and Granular Computing: A Synergistic Design Environment
Автор: Witold Pedrycz, Shyi-Ming Chen
Издательство: Springer
Год: 2024
Страниц: 355
Язык: английский
Формат: pdf (true), epub
Размер: 74.0 MB

This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC). ML offers a wealth of architectures and learning methods. Granular Computing addresses useful aspects of abstraction and knowledge representation that are of importance in the advanced design of ML architectures. In unison, ML and GrC support advances of the fundamental learning paradigm. As built upon synergy, this unified environment focuses on a spectrum of methodological and algorithmic issues, discusses implementations and elaborates on applications. The chapters bring forward recent developments showing ways of designing synergistic and coherently structured ML-GrC environment. Machine Learning has been an intensive research endeavor leading in recent years to a wealth of concepts, algorithms, and implementations encompassing a variety of original and far-reaching application domains. The successes of designed learning environments are highly impactful, especially in the realm of natural language processing (NLP) as well as image processing and computer vision. The book will be of interest to a broad audience including researchers and practitioners active in the area of ML or GrC and interested in following its timely trends and new pursuits.

Название: Artificial Intelligence in Prescriptive Analytics: Innovations in Decision Analysis, Intelligent Optimization, and Data-Driven Decisions
Автор: Witold Pedrycz, Gilberto Rivera, Eduardo Fernández, Gustavo Javier Meschino
Издательство: Springer
Год: 2024
Страниц: 544
Язык: английский
Формат: pdf (true)
Размер: 32.5 MB

Considering the advances of the different approaches and applications in the last years, and even in the last months, this is a particular moment in history to transform every data-driven decision-making process with the power of Artificial Intelligence (AI). This book reveals, through concrete case studies and original application ideas, how cutting-edge AI techniques are revolutionizing industries such as finance, health care, and manufacturing. It invites us to discover how machine learning, decision analysis, and intelligent optimization are changing, directly or indirectly, almost all aspects of our daily lives. This comprehensive book offers practical insights and real-world applications for professionals, researchers, and students alike. It helps to learn how to apply AI for smarter, data-driven decisions in areas like supply chain management, risk assessment, and even personalized medicine. Be inspired by the chapters of this book and unlock the full potential of AI in your field!

Название: Analysis of Categorical Data with R, 2nd Edition
Автор: Christopher R. Bilder, Thomas M. Loughin
Издательство: CRC Press
Год: 2025
Страниц: 688
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The second edition is a substantial update of the first based on the authors’ experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter—group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The book does not require any prior experience with R. We provide an introduction to the essential features and functions of R in Appendix A. We also provide introductory details on the use of R in the earlier chapters to help inexperienced R users. Throughout the book, as new R functions are needed, their basic features are discussed in the text and their implementation shown with corresponding output. We focus on using R packages that are provided by default with the initial R installation. However, we make frequent use of other R packages when they are significantly better or contain functionality unavailable in the standard R packages. The book contains the code and output as it would appear in the R Console; we make minor modifications at times to the output only to save space within the book. Code provided in the book for plotting is often meant for color display rather than the actual black-and-white display shown in the print and some electronic editions.