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  • Добавил: Igor1977
  • Дата: 24-09-2024, 08:40
  • Комментариев: 0

Название: Разработка мобильных приложений
Автор: Нурпеисова Г.Б., Нурпеисова Т.Б., Кайдаш И.Н., Панюкова Д.В.
Издательство: Алматы: Бастау
Год: 2020
Формат: pdf
Страниц: 324
Размер: 14 mb
Язык: русский

В данном учебном пособии рассматриваются современные мобильные технологии и платформы разработки мобильных приложений. Представлена их классификация.
Учебное пособие является руководством по созданию приложений для мобильных платформ Android и, частично, iOS. Пособие представляет собой комплекс теоретических и практических учебных материалов для студентов бакалавриата по направлению подготовки 6В061 Информационно-коммуникационные технологии, магистрантов, преподавателей, обеспечивающих учебный процесс по дисциплинам, связанным с мобильными и клиент-серверными приложениями.
  • Добавил: literator
  • Дата: 24-09-2024, 03:20
  • Комментариев: 0
Название: Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI
Автор: Marjorie McShane, Sergei Nirenburg, Jesse English
Издательство: The MIT Press
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

A novel approach to hybrid AI aimed at developing trustworthy agent collaborators. The vast majority of current AI relies wholly on Machine Learning (ML). However, the past thirty years of effort in this paradigm have shown that, despite the many things that ML can achieve, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI: that is, AI that combines ML with knowledge-based processing. In Agents in the Long Game of AI, Marjorie McShane, Sergei Nirenburg, and Jesse English present recent advances in hybrid AI with special emphases on content-centric computational cognitive modeling, explainability, and development methodologies. At present, hybridization typically involves sprinkling knowledge into an ML black box. The authors, by contrast, argue that hybridization will be best achieved in the opposite way: by building agents within a cognitive architecture and then integrating judiciously selected ML results. This approach leverages the power of ML without sacrificing the kind of explainability that will foster society’s trust in AI. This book shows how we can develop trustworthy agent collaborators of a type not being addressed by the “ML alone” or “ML sprinkled by knowledge” paradigms—and why it is imperative to do so.
  • Добавил: literator
  • Дата: 23-09-2024, 16:52
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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.
  • Добавил: literator
  • Дата: 23-09-2024, 15:59
  • Комментариев: 0
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.
  • Добавил: literator
  • Дата: 23-09-2024, 12:37
  • Комментариев: 0
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.
  • Добавил: Igor1977
  • Дата: 23-09-2024, 08:43
  • Комментариев: 0

Название: Технология разработки программного обеспечения
Автор: Яворский В., Томилова Н.
Издательство: Астана: Фолиант
Год: 2010 - 2-е изд.
Формат: pdf
Страниц: 376
Размер: 16 mb
Язык: русский

Цель учебника - помочь в освоении современных методов и средств разработки программного обеспечения сложных программных продуктов, основанных на использовании CASE-технологий, а также навыков их самостоятельного применения.
Изложены классические основы программной инженерии, показаны последние научные достижения и практические достижения, характеризующие динамику развития этой области, продемонстрирован комплексный подход к решению наиболее важных вопросов, возникающих в больших программных проектах.
  • Добавил: literator
  • Дата: 23-09-2024, 03:31
  • Комментариев: 0
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.
  • Добавил: literator
  • Дата: 23-09-2024, 02:29
  • Комментариев: 0
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!
  • Добавил: magnum
  • Дата: 22-09-2024, 23:50
  • Комментариев: 0
Python-Code fur Einsteiger - September 2024Название: 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.
  • Добавил: literator
  • Дата: 22-09-2024, 18:52
  • Комментариев: 0
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.