Название: Swift and Machine Learning: The Ultimate Programming Guide for IOS Developers
Автор: Finnian L. Archer
Издательство: Independently published
Год: 2025
Страниц: 228
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Have you ever wondered how to harness the power of Machine Learning in your iOS apps? Are you tired of reading vague, overly complex explanations that don’t show you how things actually work in Swift? Do you want a clear, practical guide that walks you through building intelligent, high-performance iOS applications—step by step? You already know Swift, but do you know how to integrate AI and Machine Learning into your apps effectively? You’ve seen apps that recognize images, understand text, and even make predictions—but how do they do it? More importantly, how can you do it? This book isn’t just another Swift tutorial—it’s your ultimate roadmap to merging Swift and Machine Learning like a pro. Whether you’re a solo developer, an aspiring app creator, or an experienced coder looking to level up, this guide will transform the way you build apps. Don’t just read about Machine Learning—start building intelligent iOS apps today!

Название: Building a Debugger: Write a Native x64 Debugger From Scratch (Final)
Автор: Sy Brand
Издательство: No Starch Press
Год: 2025
Страниц: 747
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB, True/Retail MOBI
Размер: 83.6 MB

Master the inner workings of your x64 Linux system and expand your OS expertise by writing your very own debugger using C++. If debuggers seem like magic to you, there is no better way to demystify them than to write your own. This book will show you exactly how to do it, walking you through the entire process of building a debugger for x64 Linux systems using C++. Developers typically use debuggers for tasks such as tracing the control flow of their code as it runs, inspecting the values of variables at various points of execution, halting the program at predetermined locations, and executing functions inside the running process. As you add features to your debugger, you’ll also pick up a wealth of knowledge about operating systems, compilers, software testing, and low-level programming that you can use in your day-to-day development.

Название: GIS Tutorial for ArcGIS Pro 3.4, Sixth Edition
Автор: Wilpen L. Gorr, Kristen S. Kurland
Издательство: Esri Press
Год: 2025
Страниц: 326
Язык: английский
Формат: epub (true)
Размер: 18.2 MB

Jump into GIS with this popular hands-on textbook, written and updated for ArcGIS Pro 3.4. GIS Tutorial for ArcGIS Pro 3.4 is the book everyone needs to learn the powerful desktop app ArcGIS Pro. GIS Tutorial for ArcGIS Pro 3.4 is one of the top books on geographic information systems (GIS). Written by award-winning instructors at Carnegie Mellon University, GIS Tutorial for ArcGIS Pro introduces readers, step by step, to basic ArcGIS Pro skills such as: designing maps, using file geodatabases, geoprocessing, geocoding, creating an online story map or dashboard, working with raster and 3D maps, doing spatial analysis. This resource offers numerous examples and experiences to help cement new concepts and skills. By providing hands-on exercises as well as homework assignments, it allows readers to walk through various concepts step by step and reinforce their skills by integrating them for problem-solving. You are also introduced to ModelBuilder in ArcGIS Pro, which is used for building models. Instead of writing computer code, you can drag tools to a canvas (an editing interface) and connect them in a workflow using ModelBuilder. ArcGIS Pro writes the script for your model in the Python scripting language.

Название: Debiasing AI: Rethinking the Intersection of Innovation and Sustainability
Автор: Donghee Shin
Издательство: Routledge
Год: 2025
Страниц: 358
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

In an era where Artificial Intelligence (AI) drives unprecedented change, Debiasing AI examines the vital intersection of technology, innovation, and sustainability. This book confronts the pressing challenge of bias in AI systems, exploring its far-reaching implications for fairness, trust, and ethical practices. Through a multidisciplinary lens, the author examines how human biases are embedded in large language models, amplified by coded Machine Learning, and propagated through trained algorithms. Practical strategies are offered to address these issues, paving the way for the development of more equitable and inclusive AI technologies.

Название: Креативное программирование
Автор: Липовка А. Ю. , Бундова Е. С. , Жоров Ю. В.
Издательство: Сибирский федеральный университет
Год: 2015
Cтраниц: 280 с. : цвет. и ч/б ил.
Формат: pdf (ocr)
Размер: 17 мб
Язык: русский

Настоящее учебное пособие знакомит с понятием креативного программирования на примере двух современных сред — Processing и VVVV. представлены текстовая и кодовая фундаментальные парадигмы программирования. материал по каждой среде программирования содержит основы взаимодействия с интерфейсом, синтаксис, создание анимации, импорт и экспорт данных, работу с цветом, текстом, двухмерной и трехмерной графикой.

Название: The Nature of Code: Simulating Natural Systems with jаvascript
Автор: Daniel Shiffman
Издательство: No Starch Press
Год: 2024
Страниц: 643
Язык: английский
Формат: True PDF, True ePUB
Размер: 17.2 MB, 123.3 MB

All aboard The Coding Train! This beginner-friendly creative coding tutorial is designed to grow your skills in a fun, hands-on way as you build simulations of real-world phenomena with “The Coding Train” YouTube star Daniel Shiffman. What if you could re-create the awe-inspiring flocking patterns of birds or the hypnotic dance of fireflies—with code? For over a decade, The Nature of Code has empowered countless readers to do just that, bridging the gap between creative expression and programming. This innovative guide by Daniel Shiffman, creator of the beloved Coding Train, welcomes budding and seasoned programmers alike into a world where code meets playful creativity. This jаvascript-based edition of Shiffman’s groundbreaking work gently unfolds the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations. The p5.js library is a reimagining of the Processing creative coding environment for the modern web. I’m using it in this book for a number of reasons. For one, it’s an environment that I’m very familiar with. While the original Processing built on top of Java is my first love and still what I turn to when trying out a new idea, p5.js is what I now use for teaching many of my programming classes. It’s free, open source, and well suited to beginners, and because it’s jаvascript, everything runs right there in the web browser itself—no installation required. The prerequisites for understanding the material in this book could be stated as “one semester of programming instruction with p5.js, Processing, or any other creative coding environment.” That said, there’s no reason you couldn’t read this book having learned programming with a different language or development environment. NOTE: All examples are written with p5.js, a jаvascript library for creative coding, and are available on the book's website and its associated GitHub repository.

Название: Hands-On AWS CDK: Building Cloud Native Applications with Infrastructure as Code
Автор: Sam Ward Biddle, Kyle T. Jones
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 290
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Looking to accelerate development and build cloud native applications with AWS Cloud Development Kit? Through hands-on projects, you'll learn the basics of AWS CDK, the tool of choice for many of the world's largest technology companies. Informed by real case studies and years of work with enterprise-scale cloud architectures, this book will benefit both novice and advanced cloud developers. It's complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions to help you build a shareable portfolio of completed projects, demonstrating your ability to build cloud infrastructure at scale. The AWS Cloud Development Kit (CDK) is an open source software development framework that enables developers to define cloud infrastructure using familiar programming languages such as Python, TypeScript, Java, C#, and others instead of traditional JSON or YAML templates. The development of AWS CDK has evolved over time, driven by the need for a more efficient and familiar way to define and manage cloud resources.

Название: Introduction to Statistical Computing and Visualization Using R
Автор: Megha Rathi
Издательство: CRC Press
Год: 2025
Страниц: 420
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.

Название: Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems (Final Release)
Автор: Bartosz Konieczny
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 423
Язык: английский
Формат: epub
Размер: 10.1 MB

Data projects are an intrinsic part of an organization’s technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more. Author Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion to data observability, focusing on data engineering design patterns that solve common business problems in a secure and storage-optimized manner. Each pattern includes a user-facing description of the problem, solutions, and consequences that place the pattern into the context of real-life scenarios. You’re about to replace a legacy data processing framework written in the C# programming language, which nobody in your organization knows anymore. All the maintainers left the company without leaving any useful documentation. You’ve performed a reverse-engineering step, and now, you are rewriting the logic with a modern open source Python library.

Название: Unwrapping Monads & Friends: Shining Light on Functional Programming's Scariest Concepts
Автор: Kyle Simpson
Издательство: Leanpub
Год: 2025-04-10
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Are you scared by mathematical symbols or formal terms like "monad"? Unwrapping Monads & Friends offers a clear, approachable path through functional programming’s most intimidating concepts—no math degree required. If you've ever said "I kind of get it, but not really," this is the guide that finally makes it click. Unwrapping Monads & Friends is a deep-yet-friendly guide to one of functional programming’s most notoriously misunderstood topics: the monad. Written with clarity, empathy, and a healthy dose of pragmatism, this book breaks through the fog of intimidating jargon and dense formalism to offer a clear, grounded understanding of what monads actually are. This isn’t just "yet another monad tutorial." It’s a practical journey through the conceptual landscape of monads and their closely related "friends"—including functors, foldables, and applicatives—anchored in real jаvascript examples and a gradual learning curve. Whether you’ve struggled through Haskell-heavy blog posts or are just FP-curious, this guide offers a fresh path forward, revealing the power and elegance of these patterns without requiring a math degree or prior exposure to category theory.