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Название: Django 5 Cookbook: 70+ problem solving techniques, sample programs, and troubleshoots across python programs and web apps
Автор: Clara Stein
Издательство: GitforGits
Год: 2024
Страниц: 214
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

For Python programmers, backend developers, and web developers looking to become experts in the Django framework and improve their problem-solving skills, "Django 5 Cookbook" is the simplest and easiest pocket solution book. This book presents a variety of recipes and solutions to the complex problems of developing web applications in a clear and concise manner. Presented in a logical progression from basic ideas to more complex implementations, this book covers every angle when it comes to Django. The first step in building powerful web apps is learning how to set up Django in a virtual environment. Models, databases, user interfaces, and authentication are all thoroughly covered as the script goes along, providing a strong groundwork for creating fast and secure applications. Django REST Framework integration with popular front-end frameworks like React.js and Vue.js, as well as the development of flexible APIs, are all covered in detail with sample programs. Chapters on CI/CD, logging with Prometheus, and safeguarding Django APIs highlight the significance of best practices in software development, while containerization with Docker and orchestration with Kubernetes simplify the deployment of scalable applications.

Название: A Narrative History of Artificial Intelligence: The Perpetual Frontier of Information Technology
Автор: Masayuki Ida
Издательство: Springer
Год: 2024
Страниц: 328
Язык: английский
Формат: pdf (true)
Размер: 10.5 MB

This book addresses the history of Artificial Intelligence through the author’s experiences from the 1960s, when AI was a dream to give computers far more power than the progress for industrial technological advancement. The book starts from the AI pioneering days including what the author witnessed and impressed, then the episodes during AI boom of the 80s and 90s when the author was involved in ANSI X3J13 committee work as a principal member, translating Common Lisp books into Japanese, leading committee works in Japan for global standardization, and visiting MIT AI Lab for totally three years. The book points out that neural network research started in the 1980s, highlighting the DARPA report dated in 1988. The last episodes and thoughts include the experiences with business school students after the author moved from engineering school. The former half is from a view of an engineering mind and then the latter is based on how the author struggled with business-minded people to explain the core of AI. This book is suitable for anyone interested in the history of Artificial Intelligence. The content is easy to follow, even for readers without prior knowledge of AI. Experts will also find something new and thought-provoking.

Название: C# Compiler Construction: Build Robust Language Tools Targeting the .NET Framework
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Computer Science Fundamentals
Год: 2024
Страниц: 467
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unlock compiler construction secrets using C# in "C# Compiler Construction: Unlock the secrets of compiler construction with C# in "C# Compiler Construction: Build Robust Language Tools Targeting the .NET Framework." Dive into the world of software development and discover how to harness the power of C# to build robust language tools that target the .NET Framework. Explore strategies for designing, implementing, and optimizing compilers with C#: In this comprehensive guide, you'll learn the ins and outs of compiler construction with C# and explore specific strategies and techniques for designing, implementing, and optimizing compilers. From lexical and syntax analysis to semantic analysis and intermediate representation, this book covers everything you need to know to master the art of compiler construction. Gain skills to deepen understanding or start journey in compiler construction: Whether you're a seasoned developer looking to deepen your understanding of compiler construction or a newcomer eager to learn the ropes, "C# Compiler Construction" has something for everyone. With clear explanations, practical examples, and hands-on exercises, you'll gain the knowledge and skills you need to take your programming expertise to the next level. Compiler construction is a fundamental aspect of software development, enabling the translation of high-level programming languages into machine-readable code. In the context of C#, compiler construction holds particular significance due to its role in the .NET ecosystem.

Название: Деконструкция виртуальных миров. Заметки о дизайне уровней легендарных видеоигр
Автор: Михаил Кадиков
Издательство: Издательские решения
Год: 2023
Формат: PDF/fb2/epub
Страниц: 393
Размер: 272 Mb
Язык: Русский

Эта книга позволит вам взглянуть на видеоигры глазами профессионального разработчика. Деконструкции подверглись более двадцати легендарных игр от Nintendo, Valve, Naughty Dog, Rockstar Games, FromSoftware, CD Projekt RED и др. Вы узнаете, благодаря каким дизайнерским решениям виртуальные миры захватывают и удерживают внимание, превращают исследование локаций в увлекательное приключение и общаются с игроком посредством визуального языка. Ваш взгляд на игры уже не будет прежним!

Название: Artificial Intelligence for Science and Engineering Applications
Автор: Shahab D. Mohaghegh
Издательство: CRC Press
Год: 2024
Страниц: 126
Язык: английский
Формат: epub (true)
Размер: 17.3 MB

Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision‑making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI. Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.

Название: Чистый дизайн. Практика эмпирического проектирования ПО
Автор: Кент Бек
Издательство: Спринт Бук
Год: 2024
Формат: pdf
Страниц: 176
Размер: 13,6 Мб
Язык: русский

Грязный код создает проблемы. Чтобы код было проще читать, приходится проводить его очистку, разбивая на части, с которыми удобно работать. Кент Бек, создатель методологии экстремального программирования и первопроходец в области паттернов проектирования, рассказывает нам, где и когда лучше проводить очистку для улучшения кода с учетом общей структуры системы. Книга не заставляет читателя проводить очистку сразу и целиком, а позволяет протестировать несколько примеров, которые подходят для поставленной задачи. Вы узнаете, как логически разделить на части большую функцию, содержащую множество строк кода. Познакомитесь с теоретическими понятиями программного дизайна: сцеплением, связностью, дисконтированными денежными потоками и вариативностью.

Название: Modern Data Mining with Python: A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps
Автор: Dushyant Singh Sengar, Vikash Chandra
Издательство: BPB Publications
Год: 2024
Страниц: 438
Язык: английский
Формат: epub (true)
Размер: 20.0 MB

"Modern Data Mining with Python" is a guidebook for responsibly implementing data mining techniques that involve collecting, storing, and analyzing large amounts of structured and unstructured data to extract useful insights and patterns. Enter into the world of data mining and Machine Learning. Use insights from various data sources, from social media to credit card transactions. Master statistical tools, explore data trends, and patterns. Understand decision trees and artificial neural networks (ANNs). Manage high-dimensional data with dimensionality reduction. Explore binary classification with logistic regression. Spot concealed patterns with unsupervised learning. Analyze text with recurrent neural networks (RNNs) and visuals with convolutional neural networks (CNNs). Ensure model compliance with regulatory standards. The book starts from the basics of statistics and exploratory data analysis and then ventures into advanced Deep Learning techniques. It emphasizes ethical Machine Learning model development, tackling biases, ensuring algorithmic transparency, and adhering to responsible AI principles. This approach is not only about learning techniques but also about becoming a responsible decision-maker in the data-driven business world. After reading this book, readers will be equipped with the skills and knowledge necessary to use Python for data mining and analysis in an industry set-up. They will be able to analyze and implement algorithms on large structured and unstructured datasets.

Название: Classic Game Programming on the NES (MEAP v7)
Автор: Tony Cruise
Издательство: Manning Publications
Год: 2024
Страниц: 369
Язык: английский
Формат: pdf, epub
Размер: 30.1 MB

Build your own retro games for the Nintendo Entertainment System. From Super Mario Bros to The Legend of Zelda, games of the Nintendo Entertainment System (NES) defined the childhoods of millions. Now with the power of modern tools you can start creating NES games of your very own! This all-practical beginners guide will show you how to get started, with guidance on everything from graphics and music, to the Assembler language needed to get the most out of the NES, to enemy AI. Do you have an amazing idea for a NES game you’ve been itching to turn into reality? Classic Game Programming on the NES will show you how! You don’t need any game development experience or specialist programming skills. You don’t need a team of developers and graphic artists. This one-stop guide teaches you everything you need to know, step-by-step. Classic Game Programming on the NES is a comprehensive guide to developing your first retro game for the Nintendo Entertainment System. It brings together the scattered secrets of NES development, distilling them into clear instructions on how to get started, what your game needs to work, and what tools you’ll need to use. Learn about the NES’s awesome and unique architecture, the surprisingly simple 6502 Assembler language, game logic, and more. Throughout, all concepts are illustrated with a simple space-based shoot-em-up that’s based on the awesome Astrosmash game reminiscent of games from your childhood. For anyone interested in building their own retro games! No programming experience required.

Название: Introduction to Topological Quantum Matter & Quantum Computation, 2nd Edition
Автор: Tudor D. Stanescu
Издательство: CRC Press
Год: 2024
Страниц: 449
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

What is "topological" about topological quantum states? How many types of topological quantum phases are there? What is a zero-energy Majorana mode, how can it be realized in a solid-state system, and how can it be used as a platform for topological quantum computation? What is quantum computation and what makes it different from classical computation? Addressing these and other related questions, Introduction to Topological Quantum Matter & Quantum Computation provides an introduction to and a synthesis of a fascinating and rapidly expanding research field emerging at the crossroads of condensed matter physics, mathematics, and computer science. Providing the big picture and emphasizing two major new paradigms in condensed matter physics – quantum topology and quantum information – this book is ideal for graduate students and researchers entering this field, as it allows for the fruitful transfer of ideas amongst different areas, and includes many specific examples to help the reader understand abstract and sometimes challenging concepts. It explores the topological quantum world beyond the well-known topological insulators and superconductors and unveils the deep connections with quantum computation. The fundamental model of quantum computation is the quantum circuit model, which defines a computation as a sequence of quantum gates – the quantum analog of classical logic gates. It can be demonstrated that there is a small set of so-called universal gates with the property that any quantum computation can be expressed in terms of these gates.

Название: Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Автор: Ruqiang Yan, Zhibin Zhao
Издательство: CRC Press
Год: 2024
Страниц: 217
Язык: английский
Формат: pdf (true)
Размер: 15.5 MB

The book aims to highlight the potential of Deep Learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. In recent years, due to the rapid development of computer technology, modern testing technology, and signal processing technology, equipment fault diagnosis technology has made great progress. With the rapid development of artificial intelligence technology, the application of deep neural network (DNN) in intelligent fault diagnosis (IFD) of mechanical systems has further deepened. Deep Learning (DL) is one of the hottest technologies in the current field of Machine Learning. DL is essentially a DNN with multiple hidden layers, and the main difference between it and the traditional multi-layer perceptron is the difference in the learning algorithm. Due to its strong representation learning ability, DL is well-suited for data analysis and classification. Therefore, in the field of intelligent diagnosis, many researchers have applied DL-based techniques, such as multi-layer perceptron (MLP), autoencoder (AE), convolutional neural networks (CNNs), deep belief networks (DBNs), and recurrent neural networks (RNNs), to boost the performance.