учебник по программированию

Web Scraping with Python, Data Extraction from the Modern Web, Mitchell R., 2024.

   This book is designed to serve not only as an introduction to web scraping but also as a comprehensive guide to collecting, transforming, and using data from uncooperative sources. Although it uses the Python programming language and covers many Python basics, it should not be used as an introduction to the language.
If you don’t know any Python at all, this book might be a bit of a challenge. Please do not use it as an introductory’ Python text. With that said, I’ve tried to keep all concepts and code samples at a beginning-to-intermediate Python programming level in order to make the content accessible to a wide range of readers. To this end, there are occasional explanations of more advanced Python programming and general computer science topics where appropriate. If you are a more advanced reader, feel free to skim these parts!

Unreal Engine VR для разработчиков, Макеффри М., 2019.

   Первое руководство по созданию виртуальной реальности с использованием движка Unreal Engine 4 на русском языке!
VR — новый, удивительный рубеж рубеж для разработчиков игр и специалистов по визуализации. A Unreal® Engine 4 — идеальная платформа для этого. «Unreal® Engine VR. Руководство по разработке» — это исчерпывающее руководство по созданию потрясающих приложений на любых VR-устройствах, совместимых с Unreal Engine 4.

Unreal Engine Blueprint Game Developer.

   Hello and welcome to "Unreal Engine Blueprint Game Developer"! I'm thrilled to have you join me on this exciting journey into the world of game development using Unreal Engine 4's powerful visual scripting system, Blueprints. Whether you're a complete beginner or someone with prior experience in coding, this book is designed to empower you to create your very own video games without writing traditional code.

Unreal Engine 5, Game Programming, Design Patterns in C++, Java, C#, and Blueprints, 2021.

   This book is a crosswalk from traditional code to visual scripting. This book is about reconstructing traditional and widely used design patterns in a visual scripting environment. The visual scripting environment is Unreal Engine’s “Blueprints.” We will discuss and implement design patterns to solve some of the most common problems in programming. You will not need to read much of the background material on the design patterns if you are an experienced coder. Chances are, you probably have used many of these patterns previously. Do not fret If you are not a coder. If you are familiar with Blueprints, then you can, and should implement design patterns into your workflow when necessary.

Understanding Python regex, Agarwal S.

   Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you understand Regular Expressions, a mini-programming language for all sorts of text processing needs. This book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. Understanding both the nature of input strings and the output produced is essential. As an analogy, consider learning to drive a car — no matter how much you read about them or listen to explanations, you’d need practical experience to become proficient.

Ultimate Selenium WebDriver for Test Automation, Gupta R., 2024.

   You hold in your hands a book that is ostensibly about Selenium. Except it’s about far more than that. You see, in this book, Robin takes us on a journey from neophyte to master tester, introducing us not only to the tool that is Selenium, but also to the context in which it can be used. This book provides a distillation of many of the current “best practices” that many teams have adopted when using Selenium, particularly the Java bindings. Those are practices that have evolved over many years, and have been shown to be effective time and again.

Think Stats, Exploratory Data Analysis, Downey A., 2026.

Фрагмент из книги:
Linear regression is based on a model where the expected value of the dependent variable is the weighted sum of the explanatory variables and an intercept. This model is appropriate when the dependent variable is a continuous quantity like birth weight or penguin weight, but not when the dependent variable is discrete quantity like a count or a category.

System Design, Машинное обучение, Подготовка к сложному интервью, Сюй А., Аминиан А., 2024.

   Собеседования по проектированию системы машинного обучения — самые сложные из всех вопросов технического собеседования. Эта книга предоставляет надежную стратегию и базу знании для решения широкого круга вопросов проектирования систем машинного обучения. Пошаговый подход формирует основу для решения любого вопроса проектирования, используя множество реальных примеров.
Эта книга поможет всем, кто интересуется проектированием систем машинного обучения, будь то новички или опытные инженеры. Если вам нужно подготовиться к собеседованию по данной теме, эта книга создана специально для вас.