Название: Code the Classics Volume II
Автор: Russell Barnes
Издательство: Raspberry Pi Press
Год: 2024
Страниц: 369
Язык: английский
Формат: epub (true)
Размер: 61.7 MB

Take inspiration from the some of the greatest video games of the 1980s and learn how to write your own modern classics. Code the Classics Volume II not only tells the stories of some of the seminal video games of the 1980s, but shows you how to create your own games inspired by them, following examples programmed by Raspberry Pi founder Eben Upton. In this book, you'll learn how to run and edit the games in this book by installing Python, Pygame Zero, and an IDE. This book has been written assuming that the reader has at least some knowledge of the Python programming language. Although it is outside of the scope of this book to teach you Python, we’ll go through some of the key features of the language that you’ll need to understand. Unless you only plan on making simple text-based games, there are certain things you always need to be able to do as a game developer: display images, play sound effects, and receive inputs from the keyboard or a game controller. In a basic Python installation, one of these is impossible and the others are hard to do in a way that works well for a real-time game. To address this, there are various libraries available for Python. A library is a collection of functions which can be used in multiple projects. One of the most popular libraries for making games with Python is Pygame, which makes it easy to create a window, draw sprites, play sound effects, and get control inputs. To reduce the amount of boilerplate code for our games, we’re using the library Pygame Zero, which is built on top of the Pygame library. It automates many things that a game programmer would usually need to write themselves. While we cannot fully cover everything that Pygame Zero does, we’ll give an overview of some of its most useful features.

Название: Optimization Algorithms: AI techniques for design, planning, and control problems
Автор: Alaa Khamis
Издательство: Manning Publications
Год: 2024
Страниц: 669
Язык: английский
Формат: pdf (true)
Размер: 116.2 MB

Solve design, planning, and control problems using modern machine learning and AI techniques. Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems. Search and optimization algorithms are powerful tools that can help practitioners find optimal or near-optimal solutions to a wide range of design, planning and control problems. When you open a route planning app, call for a rideshare, or schedule a hospital appointment, an AI algorithm works behind the scenes to make sure you get an optimized result. This guide reveals the classical and modern algorithms behind these services. Dive into the exciting world of classical problems like the Travelling Salesman Problem and the Knapsack Problem, as well as cutting-edge modern implementations like graph search methods, metaheuristics and machine learning. Discover how to use these algorithms in real-world situations, with in-depth case studies on assembly line balancing, fitness planning, rideshare dispatching, routing and more. Plus, get hands-on experience with practical exercises to optimize and scale the performance of each algorithm. For AI practitioners familiar with the Python language.

Название: Azure Adventures with C#: First Steps for C# Developers into Azure Cloud
Автор: Michał Świtalik
Издательство: Apress
Год: 2024
Страниц: 314
Язык: английский
Формат: pdf
Размер: 11.6 MB

Harness the power of Azure to create cutting-edge applications, services, and infrastructure. This book is a comprehensive guide designed to help experienced C# developers master the fundamentals of Microsoft Azure. Whether you're new to Azure or looking to deepen your cloud expertise, this book provides a solid foundation in Azure basics, and resource organization, and covers some of the most commonly used Azure resources. It also includes C# solutions and bicep scripts to deploy infrastructure on Azure. The book starts with Azure fundamentals covering its structure, resource management, and pricing followed by its resource organization. You will then go through the latest version of Azure Functions and its implementation. Storage account features such as containers and queues are discussed next along with securing your applications with Managed Identity. You will learn how to manage, save, and maintain data in Azure using SQL Server and understand the advanced systems for message delivery. And you will learn about the Virtual Network and how Azure resources can be isolated from other services and from the Internet, if needed. For C# developers who want to improve their knowledge and be more competitive, DevOps who desire to automate infrastructure deployment for Azure Cloud, architects who want to familiarize themselves with the fundamental services of the Azure platform.

Название: Computer arithmetic: Key insights
Автор: Jocelyn O. Padallan
Издательство: Arcler Press
Год: 2024
Страниц: 314
Язык: английский
Формат: pdf (true)
Размер: 23.1 MB

"Computer Arithmetic: Key Insights" is a comprehensive guide that explores the fundamental principles and advanced concepts of computer arithmetic. From numerical representation to algorithms and hardware implementation, this book provides clear explanations, real-world examples, and practical insights. It covers topics such as number systems, arithmetic operations, precision issues, error analysis, parallel algorithms, and hardware implementations. Whether you're a student, researcher, or professional, this invaluable resource equips you with the necessary knowledge to tackle the challenges of modern computing. With its blend of theory and application, "Computer Arithmetic: Key Insights" is a must-have for anyone seeking a deeper understanding of computer arithmetic and its practical implications. Numerous illustrative examples and exercises accompany the theoretical discussions to facilitate hands-on learning and reinforce comprehension. Furthermore, this book acknowledges the rapid advancements in computer architecture and technology. It explores the impact of emerging hardware trends, such as multicore processors, graphics processing units (GPUs), and field-programmable gate arrays (FPGAs), on computer arithmetic. By considering both software and hardware aspects, this book equips readers with a holistic understanding of the subject.

Название: Full-Stack iOS Development with Swift and Vapor
Автор: Hem Dutt
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 273
Язык: английский
Формат: pdf (true), epub
Размер: 30.7 MB

This comprehensive book combines the strengths of Swift, the Vapor framework, and iOS development to create dynamic, full-stack applications. Perfect for aspiring developers, students, and seasoned iOS professionals, this book equips you with the skills needed to master both server-side and client-side development. Key topics include understanding the fundamentals and history of full-stack development and the concept of a minimum viable product; installing and configuring essential tools and SDKs for Vapor and iOS development; mastering data persistence by integrating PostgreSQL with the Vapor framework; and implementing data storage solutions in iOS apps using Core Data and SQLite. Companion files (sample code and figures) are available for downloading by writing to the publisher.

Название: Machine Learning with Python
Автор: Tarkeshwar Barua, Kamal Kant Hiran, Ritesh Kumar Jain, Ruchi Doshi
Издательство: De Gruyter
Год: 2024
Страниц: 486
Язык: английский
Формат: pdf (true)
Размер: 40.4 MB

This book explains how to use the programming language Python to develop Machine Learning and Deep Learning tasks. Machine Learning (ML) is a discipline within the field of Artificial Intelligence (AI) that concentrates on the creation of algorithms and models, allowing computer systems to acquire knowledge and make forecasts or choices without the need for explicit programming. The primary objective of ML is to empower computers to autonomously learn and enhance their performance based on experience or data. ML, a branch of AI, enables computers to acquire knowledge and reach conclusions without the need for explicit instructions. This revolutionary discipline encompasses different methodologies, each designed to address specific learning situations. The main forms of ML comprise supervised learning, unsupervised learning, and reinforcement learning, each providing distinct approaches and applications for solving various problems. Python, a widely used general-purpose interpreted programming language, has gained immense popularity. It boasts a dynamic type system, automatic memory management, and supports multiple programming paradigms such as imperative, functional, and procedural. Python enables the creation of automated solutions for various tasks. Currently, major IT companies including Google, Microsoft, and Apple rely on Python as their primary programming language. Notably, Python stands out as the easiest programming language to learn within a short period of time. It empowers developers to build a wide range of applications, such as desktop, web, and mobile, with minimal coding effort, thanks to the abundance of frameworks and libraries available.

Название: FLET - Фуллстэк Разработка Приложений на Чистом Python
Автор: Аве Кодер
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 14 Mb
Язык: Русский

Самый быстрый способ создания фуллстэк приложений на Python! Flet позволяет разработчикам легко создавать веб-приложения, мобильные и настольные приложения реального времени на чистом Python. Опыт работы с фронтендом не требуется.

Название: Python Coding Tricks & Tips - 19th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 40.7 MB

Python Coding Tricks and Tips - это идеальное цифровое издание для пользователей, которые хотят поднять свой набор навыков на новый уровень. Вы хотите повысить свой пользовательский опыт? Или хотите получить инсайдерские знания? Хотите учиться непосредственно у экспертов в своей области? Узнать о многочисленных приемах, которые используют профессионалы? На страницах нового руководства для продвинутых пользователей вы узнаете все, что вам нужно знать, чтобы стать более уверенным, умелым и опытным пользователем, который будет извлекать максимальную пользу из своего кодирования и, в конечном счете, из самого программирования Python. Это достижение вы можете заслужить, просто позволив нам эксклюзивно помочь вам и научить вас тем способностям, которые мы приобрели за десятилетия нашего опыта.

Название: Алгоритмы и структуры данных на Python
Автор: Cuantum Technologies
Издательство: Питер
Год: 2025
Страниц: 369
Язык: русский
Формат: pdf
Размер: 10.1 MB

Представьте, что вы не просто программируете, а создаете элегантные решения, обладая глубоким пониманием алгоритмов и структур данных. Откройте же мощь алгоритмического мышления с помощью Python. Разберитесь в алгоритмах и структурах данных с нуля до продвинутого уровня и применяйте знания в реальном мире. Кем бы вы ни были — начинающим программистом, опытным разработчиком, желающим расширить знания, или специалистом с нетехническим образованием, интересующимся анализом данных, — книга поможет улучшить понимание и навыки решения задач. Наша книга призвана помочь вам всесторонне изучить алгоритмы, созданные с учетом возможностей Python. Этот язык известен своей простотой, читабельностью и элегантностью, благодаря чему он служит отличной средой для изучения алгоритмов, позволяя со­ средоточиться на базовых концепциях, а не увязать в сложном синтаксисе. Python помогает новичкам научиться программировать, а профессионалам открывает много новых возможностей, поэтому идеально подходит для широкого круга читателей.

Название: Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
Автор: Thanigaivelan R., Suchithra M., Kaliappan S., T. Mothilal
Издательство: IGI Global
Год: 2024
Страниц: 423
Язык: английский
Формат: pdf (true), epub
Размер: 19.6 MB

In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of Machine Learning (ML) and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, Internet of Things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, Machine Learning engineers, software developers and engineers, policy makers, and more.