Litgu.ru - Литературный Гуру

Название: Applications and Principles of Quantum Computing
Автор: Alex Khang
Издательство: IGI Global
Год: 2024
Страниц: 510
Язык: английский
Формат: pdf (true), epub
Размер: 31.3 MB

In a world driven by technology and data, classical computing faces limitations in tackling complex challenges like climate modeling and financial risk assessment. These barriers impede our aspirations to revolutionize industries and solve intricate real-world problems. To bridge this gap, we must embrace quantum computing. Edited by Alex Khang PH, Principles and Applications of Quantum Computing is a transformative solution to this challenge. It delves into the interdisciplinary realms of Computer Science, physics, and mathematics, unveiling the incredible potential of quantum computing, which outperforms supercomputers by 158 million times. This technology, rooted in quantum mechanics, offers solutions to global problems and opens new frontiers in Artificial Intelligence (AI), cybersecurity, finance, drug development, and more. By engaging with this book, you become a pioneer in the quantum revolution, contributing to reshaping the limits of what's achievable in our digital age. Nowadays, quantum computing is a powerful technology both the present and the future, it has the potential to all revolutionize computation for problems solvable in the real life and science researching. While no quantum computer is yet sophisticated and intelligent enough to carry out calculations that a traditional computer can’t does, but hopefully scientists and high-tech companies will be making a great progress soon. With this book, you will be able to learn the key principles of quantum computing such as computation, communication, coordination, recollection, automation, evaluation and design under each perspective on computing, a pathway into the knowledge space of quantum computing and its applications in most areas of Artificial Intelligence science, cybersecurity and cloud-based quantum computing access, etc.

Название: 50 Essential iOS Interview Questions and Answers
Автор: Thien Liu
Издательство: Independently published
Год: 2024
Страниц: 125
Язык: английский
Формат: pdf
Размер: 19.7 MB

Discover 50 essential interview questions that cover various key areas in iOS development. Clear and concise answers to each question, providing you with the knowledge and understanding you need to impress your interviewers. Code snippets and examples to illustrate key concepts and demonstrate practical application of iOS development principles. In Swift, both structs and classes are used to define properties and methods to add functionality. However, there are key differences in how they are used, which stem from Swift's value type (struct) versus reference type (class) distinction. Understanding these differences is crucial for making informed decisions about when to use each in your iOS applications. Object-Oriented Programming (OOP) is a programming paradigm that organizes code into objects, which are instances of classes. OOP focuses on creating classes that encapsulate data and behavior, and objects interact with each other through methods and properties. The main concepts of OOP are encapsulation, inheritance, and polymorphism. On the other hand, Protocol-Oriented Programming (POP) is a programming paradigm that puts protocols at the center of the design. In Swift, protocols define a blueprint of methods, properties, and requirements that conforming types must implement. POP focuses on defining behavior through protocols and then implementing that behavior in concrete types.

Название: Coding Tricks and Tips - 18th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 33.8 MB

Coding Tricks and Tips - это идеальное цифровое издание для начинающих программистов, которые хотят поднять свои навыки на новый уровень. Хотите ли вы улучшить свой пользовательский опыт или получить новые знания? Хотите ли вы учиться непосредственно у экспертов в этой области? Хотите узнать бесчисленные сокращения, которыми пользуются профессионалы? На страницах нашего нового руководства для продвинутых пользователей вы узнаете все, что вам нужно знать, чтобы стать более уверенным, компетентным и опытным пользователем. Пользователем, который максимально использует свои навыки программирования. Мы поддерживаем и обучаем вас навыкам, приобретенным за десятилетия опыта, специально для вас.

Название: Знакомство с программированием на языке Processing
Автор: Риас К., Фрай Б.
Издательство: ДMK
Год: 2021
Cтраниц: 196
Формат: pdf
Размер: 15 мб
Язык: русский

Изучите компьютерное программирование с помощью Processing – простого языка, предназначенного для создания рисунков, анимации и интерактивной графики. Курсы программирования обычно начинаются с теории, но эта книга сразу же переходит к творческим и занимательным проектам. Она идеально подходит для всех, кто хочет научиться программировать, и служит простым введением в компьютерную графику для людей, которые уже имеют некоторые навыки программирования.

Название: AI and Common Sense: Ambitions and Frictions
Автор: Martin W. Bauer, Bernard Schiele
Издательство: Routledge
Год: 2024
Страниц: 286
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

Common sense is the endless frontier in the development of Artificial Intelligence (AI), but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we? Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into Artificial Intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within Machine Learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production. A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of Machine Learning.

Название: Learning PyTorch 2.0: Experiment Deep Learning from basics to complex models using every potential capability of Pythonic PyTorch
Автор: Matthew Rosch
Издательство: GitforGits
Год: 2023
Страниц: 321
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

This book is a comprehensive guide to understanding and utilizing PyTorch 2.0 for Deep Learning applications. It starts with an introduction to PyTorch, its various advantages over other Deep Learning frameworks, and its blend with CUDA for GPU acceleration. We delve into the heart of PyTorch – tensors, learning their different types, properties, and operations. Through step-by-step examples, the reader learns to perform basic arithmetic operations on tensors, manipulate them, and understand errors related to tensor shapes. A substantial portion of the book is dedicated to illustrating how to build simple PyTorch models. This includes uploading and preparing datasets, defining the architecture, training, and predicting. It provides hands-on exercises with a real-world dataset. The book then dives into exploring PyTorch's nn module and gives a detailed comparison of different types of networks like Feedforward, RNN, GRU, CNN, and their combination. Further, the book delves into understanding the training process and PyTorch's optim module. It explores the overview of optimization algorithms like Gradient Descent, SGD, Mini-batch Gradient Descent, Momentum, Adagrad, and Adam. A separate chapter focuses on advanced concepts in PyTorch 2.0, like model serialization, optimization, distributed training, and PyTorch Quantization API. In the final chapters, the book discusses the differences between TensorFlow 2.0 and PyTorch 2.0 and the step-by-step process of migrating a TensorFlow model to PyTorch 2.0 using ONNX.

Название: Mastering AWS Serverless: Architecting, developing, and deploying serverless solutions on AWS
Автор: Miguel A. Calles
Издательство: BPB Publications
Год: 2024
Страниц: 993
Язык: английский
Формат: pdf, epub
Размер: 46.1 MB

Master the art of designing and creating serverless architectures and applications. Serverless computing is relatively new compared to server-based designs. Amazon Web Services launched its serverless computing offering by introducing AWS Lambda. Lambda has introduced a revolution in cloud computing, where servers could be excluded from architectures, and events could be used to trigger other resources. The AWS serverless services have allowed developers, startups, and large enterprises to focus more on developing and creating features and spend less time managing and securing servers. It covers key concepts like serverless architecture and AWS services. You will learn to create event-driven apps, launch websites, and build APIs with hands-on exercises. The book will explore storage options and data processing, including serverless Machine Learning. Discover best practices for architecture, security, and cost optimization. The book will cover advanced topics like AWS SAM and Lambda layers for complex workflows. Finally, get guidance on creating new serverless apps and migrating existing ones. The knowledge gained from this book will help you create a serverless website, application programming interface, and backend. In addition, the information covered in the book will help you process and analyze data using a serverless design.

Название: Digital Transformation of SAP Supply Chain Processes: Build Mobile Apps Using SAP BTP and SAP Mobile Services
Автор: Pranay Gupta
Издательство: Apress
Год: 2024
Страниц: 262
Язык: английский
Формат: epub (true)
Размер: 13.9 MB

Take a high-level tour of SAP oDATA integrations with frontend technologies like Angular using the SAP Mobile Services Platform. This book will give you a different perspective on executing SAP transactions on iOS using Angular instead of SAP-provided Fiori-based applications. You’ll start by learning about SAP supply chain processes such as Goods Receipt, Transfer Posting, Goods Issue, and Inventory Search. You’ll then move on to understanding the thought process involved in integrating SAP's backend (SAP ECC) with Angular iOS app using SAP Mobile Services running on SAP BTP. All this will serve as a guide tailored to SAP functional and technical consultants actively engaged in client-facing roles. You’ll follow a roadmap for modernizing and streamlining supply chain operations by leveraging Angular iOS apps. Ionic and Angular are two popular web development frameworks often used in combination to create modern and feature-rich web and mobile applications. This chapter explores each of these frameworks in more detail. Angular is a comprehensive and widely adopted frontend jаvascript framework developed and maintained by Google. It provides a structured and organized way to build dynamic, single-page web applications (SPAs) and web-based enterprise applications. Ionic is an open-source framework for building cross-platform, mobile applications using web technologies such as HTML, CSS, and jаvascript/TypeScript. It is often described as a “hybrid” framework because it allows developers to build native-like mobile apps that can run on multiple platforms, including iOS, Android, and the web.

Название: Creating iOS apps with Xcode: Learn how to develop your own app
Автор: Aaron L Bratcher
Издательство: BPB Publications
Год: 2024
Страниц: 744
Язык: английский
Формат: pdf, epub
Размер: 11.9 MB

Build your own iOS apps for fun and profit. “Creating iOS apps with Xcode” introduces you to the premier programming language of Swift and presents SwiftUI. It is an easy way of creating user interfaces on Apple products like iPhone, iPad, and Vision Pro. This book teaches iOS app development using Swift and SwiftUI. You will begin by setting up Xcode, Apple's development tool, and learning Swift basics. Then, you will explore SwiftUI to create user interfaces with text, image, and buttons. Next, you will build reusable SwiftUI views and design a "Household Chores" app interface. Simultaneously, this book educates you on data management which includes data models, user defaults, and Swift Data databases. You will organize code with Swift Package Manager, and visualize data with Swift Charts. Further, you will also understand how to create a second app using SwiftUI and MVVM design, ensure app quality with testing and debugging, and prepare for App Store release with web service connections and asset management. Once you finish this detailed guide, you will have the know-how to craft impressive iOS apps. You will have learned how to organize code, manage data, and test apps effectively, enabling you to bring your ideas to life. The aim of this book is to help anyone, from the experienced professional moving to iOS development to the daring entrepreneur who has a bold idea on a new app, approach the task of iOS development with more confidence and an understanding of what it takes to make an app.

Название: Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications
Автор: Laith Abualigah
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 628
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications presents the most recent optimization algorithms and their applications across a wide range of scientific and engineering research fields. Metaheuristic Optimization Algorithms have become indispensable tools, with applications in data analysis, text mining, classification problems, computer vision, image analysis, pattern recognition, medicine, and many others. Most complex systems problems involve a continuous flow of data that makes it impossible to manage and analyze manually. The outcome depends on the processing of high-dimensional data, most of it irregular and unordered, present in various forms such as text, images, videos, audio, and graphics. The authors of Meta-Heuristic Optimization Algorithms provide readers with a comprehensive overview of eighteen optimization algorithms to address this complex data, including Particle Swarm Optimization Algorithm, Arithmetic Optimization Algorithm, Whale Optimization Algorithm, and Marine Predators Algorithm, along with new and emerging methods such as Aquila Optimizer, Quantum Approximate Optimization Algorithm, Manta-Ray Foraging Optimization Algorithm, and Gradient Based Optimizer, among others. Each chapter includes an introduction to the modeling concepts used to create the algorithm, followed by the mathematical and procedural structure of the algorithm, associated pseudocode, and real-world case studies to demonstrate how each algorithm can be applied to a variety of scientific and engineering solutions.