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Название: Kotlin Bootstrapped: Learn, Code, and Build Like a Pro
Автор: Mike Zephalon
Издательство: Mike Zephalon
Год: 2025
Формат: epub, pdf
Страниц: 705
Размер: 16,72 Мб
Язык: английский

Are you ready to transform the way you code with Kotlin? Whether you are a complete beginner or an experienced developer looking to master Kotlin, this book is your comprehensive guide to writing modern, efficient, and high-performing applications. This book is designed to take you from the basics of Kotlin to advanced topics, ensuring a smooth and engaging learning experience. You will not only learn the language but also gain hands-on experience by building real-world applications.

Название: Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems
Автор: Bert Gollnick
Издательство: Rheinwerk Publishing
Год: 2025
Страниц: 394
Язык: английский
Формат: pdf (pdf), epub (true)
Размер: 17.7 MB

Your guide to Generative AI with Python is here! Start with an introduction to generative AI, NLP models, LLMs, and LMMs—and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like OpenAI and LangChain. Get step-by-step instructions for working with vector databases and using retrieval-augmented generation. With information on agentic systems and AI application deployment, this guide gives you all you need to become an AI master! LLMs have revolutionized the way we interact with text-based AIs. LLMs unlock unparalleled capabilities in language understanding and generation. Well dive into the architectures of these models, dissecting how they learn from massive corpora of data to produce human-like text. Then, we’ll examine prompt engineering, an essential skill in the age of LLMs. You’ll learn how to craft prompts that efficiently navigate the models’ knowledge and capabilities. This book is designed for a wide array of readers, ranging from software developers and data scientists to students and researchers interested in Generative AI. A certain amount of coding background is expected.

Название: Pandas в действии
Автор: Борис Пасхавер
Издательство: Питер
Год: 2023
Cтраниц: 512
Формат: pdf/djvu
Размер: 67 мб
Язык: русский

Язык Python помогает упростить анализ данных. Если вы научились пользоваться электронными таблицами, то сможете освоить и pandas! Несмотря на сходство с табличной компоновкой Excel, pandas обладает большей гибкостью и более широкими возможностями. Эта библиотека для Python быстро выполняет операции с миллионами строк и способна взаимодействовать с другими инструментами. Она дает идеальную возможность выйти на новый уровень анализа данных.

Название: Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation
Автор: Chenyang Shi
Издательство: Apress
Год: 2025
Страниц: 283
Язык: английский
Формат: True PDF, True ePUB
Размер: 41.4 MB

Gain a solid understanding of algorithms and improve your problem-solving abilities using Python code. With practical examples and clear explanations, this book bridges the gap between dense academic texts and overly simple industry guides. Focusing on the logic behind essential algorithms such as Breadth First Search (BFS), Depth First Search (DFS), Divide-and-Conquer, Greedy Methods, and Dynamic Programming, the book provides ample examples, from easy to more advanced. By connecting these concepts to real-world examples, such as chess strategies and the Seam Carving, the book helps readers better grasp and apply algorithms. Each chapter also includes fully implemented Python code, making it a practical reference. Mastering Algorithms with Python is ideal for IT professionals looking to enhance their skills and approach algorithms with clarity and confidence. For software developers, data scientists, machine learning professionals and any curious learners about computer algorithms.

Название: Pattern Recognition Primer
Автор: Karol Przystalski, Maciej J. Ogorzałek, Jan K. Argasiński, Wiesław Chmielnicki
Издательство: Springer
Год: 2026
Страниц: 281
Язык: английский
Формат: pdf (true), epub
Размер: 56.9 MB

This textbook provides semester-length coverage of pattern recognition/classification, accessible to everyone who would like to understand how pattern recognition and Machine Learning works. It explores the most commonly used classification methods in an intelligible way. Unlike other books available for this course, this one explains from top to bottom each method with all needed details. Every method described is explained with examples in Python. The presentation is designed to be highly accessible to students from a variety of disciplines, with no experience in Machine Learning. Each chapter contains easy to understand code samples, as well as exercises to consolidate and test knowledge. From a programming in Python perspective, there are two ways of training Machine Learning methods. The first is an iterative way in which we go through each element in a vector or matrix to calculate the expected result. This approach is based on many for or while loops. The second approach is based on libraries like NumPy that are adjusted and perform much better than any iterative implementation.

Название: jаvascript Functional Programming Made Simple
Автор: WILLIAM E. CLARK
Издательство: NOBTREX
Год: 2024
Формат: pdf, epub, fb2
Страниц: 241
Размер: 12.1 Мб
Язык: английский

Master the art of functional programming with "jаvascript Functional Programming Made Simple: A Practical Guide with Examples" by William E. Clark. This comprehensive guide serves as an indispensable resource for developers of all proficiency levels who wish to deepen their understanding of functional programming principles and apply them within the jаvascript ecosystem. Through clear explanations and practical examples, the book elucidates foundational concepts such as pure functions, immutability, and higher-order functions, equipping readers with the skills to write concise, efficient, and maintainable code.

Название: Appium Insights: Strategies for Successful Platform Agnostic Test Automation
Автор: Sai Krishna V
Издательство: Apress
Год: 2025
Страниц: 215
Язык: английский
Формат: pdf
Размер: 11.2 MB

This books helps you embark on the journey to master the art of Appium automation, from installation all the way to building a Plugin and Driver. It covers the Appium 3.0 version which is the latest version which involves a complete re-architecture. Appium is an open source, cross-platform test automation tool designed for native and hybrid mobile applications. In addition to mobile apps, Appium supports testing for desktop applications, TV OS, Unity games, and many other applications, depending on the drivers developed for it. The use of standard automation APIs means seamless integration between different platforms. Since it supports any WebDriver-compatible language like Java, Python, Ruby, C#, and Node.js, it allows developers to write their tests. You'll begin by following step-by-step instructions on installing Appium, configuring Node packages, and creating a simple test. Following this, you'll discuss the intricacies of configuring and developing robust method wrappers, a crucial skill for supporting multiple test suites with both native commands. The book goes beyond the basics, exploring techniques to make test suites faster when running tests in CI like Jenkins, GitHub Actions, as well as cloud environments like Lambda Test, BrowserStack. For Software Testers, software architects, QA engineers, and DevOps engineers.

Название: Trustworthy Machine Learning under Imperfect Data
Автор: Bo Han, Tongliang Liu
Издательство: Springer
Год: 2026
Страниц: 297
Язык: английский
Формат: pdf (true), epub
Размер: 48.3 MB

The subject of this book centres around trustworthy Machine Learning under imperfect data. It is primarily designed for scientists, researchers, practitioners, professionals, postgraduates and undergraduates in the field of Machine Learning and Artificial Intelligence. The book focuses on trustworthy Deep Learning under various types of imperfect data, including noisy labels, adversarial examples, and out-of-distribution data. It covers trustworthy Machine Learning algorithms, theories, and systems. The main goal of the book is to provide students and researchers in academia with an unbiased and comprehensive literature review. More importantly, it aims to stimulate insightful discussions about the future of trustworthy Machine Learning. By engaging the audience in more in-depth conversations, the book intends to spark ideas for addressing core problems in this topic. For example, it will explore how to build up benchmark datasets in noisy-supervised learning, how to tackle the emerging adversarial learning, and how to tackle out-of-distribution detection. For practitioners in the industry, this book will present state-of-the-art trustworthy Machine Learning methods to help them solve real-world problems in different scenarios, such as online recommendation and web search.

Название: The Definitive jаvascript Handbook: From Fundamentals to Cutting‑Edge Best Practices
Автор: Aarav Joshi
Издательство: Aarav Joshi
Год: 2024
Формат: pdf, epub
Страниц: 1127
Размер: 13.5 Мб
Язык: английский

The Definitive jаvascript Handbook: From Fundamentals to Cutting‑Edge Best Practices is your comprehensive guide to mastering the language that powers the web. This book bridges the gap between beginner and expert, offering an in-depth exploration of jаvascript from its core principles to the latest ECMAScript features and advanced programming paradigms. You will discover the evolution of jаvascript, learn how to set up modern development environments, and dive into topics such as asynchronous programming, functional and object-oriented design, and reactive patterns with RxJS.

Название: Занимательная информатика
Автор: Златопольский Д.М.
Издательство: Лаборатория знаний
Год: 2017 - 4-е изд.
Cтраниц: 427
Формат: pdf (ocr)
Размер: 24 мб
Язык: русский

Книга во многом аналогична популярным книгам «Занимательная физика» Я. И. Перельмана, «Математические чудеса и тайны» М. Гарднера, «В царстве смекалки» Е. И. Игнатьева, «Математическая смекалка» Б. А. Кордемского и др. Она содержит большое количество разнообразных занимательных логических задач и головоломок, интересных фактов и полезных программ, простейших компьютерных игр, фокусов и др. Материалы книги охватывают широкий круг вопросов информатики, вычислительной техники и информационных и коммуникационных технологий (системы счисления, кодирование информации, логика, основы программирования, Интернет и др.).