Название: Разработка мобильных приложений
Автор(ы): Соколова В.В.
Издательство: Юрайт
Год: 2019
Страниц: 176
Формат: PDF
Размер: 14 Мб
Язык: русский

Основной целью пособия является введение в разработку нативных мобильных приложений на платформах J2ME и Android. Описана краткая история развития мобильных технологий, представлена существующая классификация мобильных приложений и изложены основные этапы их разработки с использованием языка программирования Java.

Название: Основы программирования в Microsoft Excel
Автор: Б. С. Лещинский
Издательство: Томский государственный университет
Год: 2017
Формат: pdf
Страниц: 82
Размер: 15,14 Мб
Язык: русский

В данном пособии изучаются основные принципы программирования в языке Visual Basic for Application (VBA) для автоматизации проведения расчетов в табличном процессоре Microsoft Excel. Подробно изучаются основные алгоритмические конструкции, понятия константы, переменной и массива. Рассматриваются основные операторы и конструкции VBA.

Название: Computer Graphics Programming in Opengl With Java, 4th Edition
Автор: V. Scott Gordon, John Clevenger
Издательство: Mercury Learning and Information
Год: 2025
Страниц: 595
Язык: английский
Формат: pdf (true)
Размер: 46.0 MB

This updated edition is designed primarily as a textbook for a typical Computer Science undergraduate course in modern shader-based OpenGL 3D graphics programming. However, we have also endeavored to create a text that could be used to teach oneself, without an accompanying course. With both of those aims in mind, we have tried to explain things as clearly and as simply as we can. All of the programming examples are stripped down and simplified as much as possible, but they are still complete, so the reader may run them all as presented. One of the things we hope is unique about this book is that we have strived to make it accessible to a beginner – that is, someone new to 3D graphics programming. This book teaches OpenGL programming in Java, using JOGL—a Java “wrapper” for OpenGL’s native C calls. This book is targeted at students of Computer Science. This could mean undergraduates pursuing a BS degree, but it could also mean anyone who studies Computer Science. As such, we are assuming that the reader has at least a solid background in object-oriented programming, at the level of someone who is, say, a Computer Science major at the junior or senior level.

Название: Access 2024 / Microsoft 365 Programming By Example
Автор: Julitta Korol
Издательство: Mercury Learning and Information
Год: 2025
Страниц: 1201
Язык: английский
Формат: pdf (true)
Размер: 43.0 MB

Transform your Access databases from simple data repositories to powerful, automated applications with Access 2024 / Microsoft 365 Programming by Example. This isn't just another reference manual; it's a practical, step-by-step tutorial designed to guide you through the essentials of Visual Basic for Applications (VBA) within the Access environment. Built for those who already understand basic Access database design and operations, this book dives straight into practical examples and hands-on exercises. Each chapter builds upon the previous, gradually introducing you to more complex concepts and techniques. The aim is to provide you with a solid foundation in VBA programming within the context of Access, covering the most critical and frequently used features. This book will not answer all questions about VBA programming but will equip you with the knowledge and skills to tackle common tasks and challenges. By the end of this tutorial, you’ll have a robust understanding of how to use VBA to enhance and automate your Access databases, empowering you to develop more efficient and powerful applications.

Название: Privacy and Security for Large Language Models: Hands-On Privacy-Preserving Techniques for Personalized AI (Final Release)
Автор: Baihan Lin
Издательство: O’Reilly Media, Inc.
Год: 2026
Страниц: 402
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

As the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever. Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security. The stakes are high, as privacy breaches and data leaks can lead to significant reputational and financial repercussions. This book serves as a much-needed guide to addressing these pressing concerns. Dr. Baihan Lin offers a comprehensive exploration of privacy-preserving and security techniques like differential privacy, federated learning, and homomorphic encryption, applied specifically to LLMs. I assume you have intermediate to advanced expertise in Machine Learning, familiarity with Python programming, and a working knowledge of deep learning frameworks. More importantly, I assume you’re grappling with the practical challenges of responsible AI deployment, the challenges that textbooks often gloss over but that practitioners face every day.

Название: Серия "IT для начинающих и опытных" в 5 книгах
Автор(ы): разные
Издательство: Москва
Год: 2025
Страниц: 1000+
Формат: PDF
Размер: 187 Мб
Язык: русский

Серия «IT для начинающих и опытных» подробно объясняет принципы работы с Python. Начиная с базового синтаксиса и заканчивая более сложными аспектами. В ней представлены также основы Kotlin и инструментарий для продвинутых программистов. Ряд материалов посвящен сравнению языков программирования Java и Kotlin.

Название: Серия "Программирование для всех" в 9 книгах
Автор(ы): разные
Издательство: Москва
Год: 2023-2026
Страниц: 1000+
Формат: fb2, pdf
Размер: 93 Мб
Язык: русский

Очень хочется стать программистом и войти в IT, но не знаете с чего начать? Поздравляю, в ваших руках учебник нового поколения – без кучи непонятных слов и кодов расскажем про инструменты и библиотеки для программирования на Python. И все это заправлено лайфхаками, вдохновляющими историями из мира настоящих хакеров и игрофикацией – потому что обучение не должно быть скучным.

Название: Kotlin. Программирование для профессионалов
Автор(ы): Скин Д., Гринхол Д., Бэйли Э.
Издательство: Питер
Год: 2023
Страниц: 560
Формат: PDF
Размер: 13 Мб
Язык: русский

Kotlin — это язык программирования со статической типизацией, который взяла на вооружение Google в ОС Android. Кроме того, это мультиплатформенный язык, позволяющий создавать приложения для macOS, Windows и iOS. Джош Скин, Дэвид Гринхол, Эндрю Бэйли на практических примерах познакомят вас с ключевыми концепциями Kotlin и фундаментальными API.

Название: 140 Tips For Clean Code: Clean code is not an aesthetic choice; it is a professional advantage
Автор: Petri K. Silén
Издательство: Pksilen Publishing/Leanpub
Год: 2026
Страниц: 222
Язык: английский
Формат: pdf (true), epub
Размер: 11.2 MB

140 Tips for Clean Code distills 140 practical, field-tested tips for writing clean, readable, and maintainable code. Each tip is concise, actionable, and grounded in real-world development challenges. No theory for theory’s sake. Whether you are refining a legacy system or starting from scratch, these insights will help you reduce complexity, prevent defects, and make your code a pleasure to work with. Clean code is not an aesthetic choice; it is a professional advantage. 140 Tips for Clean Code is a practical, experience-driven guide for developers who want to write better software every day, not someday. Distilled from three decades of hands-on software development across multiple programming languages, this book delivers hard-won insights into what actually makes code clean, maintainable, and resilient in real-world systems. It is written for practitioners who value clarity, discipline, and craftsmanship over theory and buzzwords.

Название: Deep-Learning-Assisted Statistical Methods with Examples in R
Автор: Tianyu Zhan
Издательство: CRC Press
Серия: Data Science Series
Год: 2026
Страниц: 184
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.1 MB

This book explores how Deep Learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation, and other aspects. It uniquely demonstrates leveraging Deep Learning to improve traditional statistical approaches, showcasing their superior performance in practical applications. Each topic includes essential background, clear method explanations, and detailed R code demonstrations through case studies. This allows readers to directly apply these methods to their own challenges and easily adapt the underlying principles to related problems. The author further explores the multifaceted benefits of deep-learning-assisted statistical methods, extending beyond mere statistical efficiency. It highlights crucial features such as integrity protection, ensuring the trustworthiness of results; computational efficiency, enabling faster and more scalable analyses; and interpretability, which is increasingly vital for transparent communication of complex findings in modern statistics. This book is a valuable resource for students, practitioners, and researchers integrating statistics and Data Science techniques to solve impactful real-world problems.