Название: Learning Java: An Introduction to Real-World Programming with Java, 6th Edition (Final)
Автор: Marc Loy, Patrick Niemeyer, Daniel Leuck
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 552
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.8 MB, 10.2 MB

Ideal for working programmers new to Java, this best-selling book guides you through the language features and APIs of Java 21. Through fun, compelling, and realistic examples, authors Marc Loy, Patrick Niemeyer, and Dan Leuck introduce you to Java's fundamentals, including its class libraries, programming techniques, and idioms, with an eye toward building real applications. This updated sixth edition expands the content to continue covering lambdas and streams, and shows you how to use a functional paradigm in Java. You'll learn about the latest Java features introduced since the book's fifth edition, from JDK 15 through 21. You'll also take a deep dive into virtual threads (introduced as Project Loom in Java 19). This book introduces the Java programming language and environment. Whether you are a software developer or just someone who uses the internet in your daily life, you’ve undoubtedly heard about Java. Its arrival was one of the most exciting developments in the history of the web, and Java applications continue to power business on the internet. Java is, arguably, the most popular programming language in the world, used by millions of developers on almost every kind of computer imaginable.

Название: Scratch и Arduino для юных программистов и конструкторов
Автор: Ю. А. Винницкий, А. Т. Григорьев
Издательство: БХВ-Петербург
Год: 2022 - 2-е изд., перераб. и доп.
Cтраниц: 230, цвет.ил.
Формат: pdf
Размер: 18 мб
Язык: русский

Книга написана на основе опыта работы с детьми 3–11 классов и посвящена творческим проектам юных программистов и конструкторов. На примере алгоритмов черепашьей графики и простых компьютерных игр дети познакомятся с креативным программированием в визуальной среде Scratch. Рассмотрено применение плат Arduino, плат расширения и различных внешних датчиков в конструкторских проектах начального уровня.

Название: Серия "Школа юного программиста" в 9 книгах
Автор(ы): разные
Издательство: ЛЗ
Год: 2019-2024
Страниц: 1000+
Формат: PDF
Размер: 382 Мб
Язык: русский

Дорогой друг! Ты принадлежишь к тому поколению, которое, в отличие от людей старшего возраста, с младенчества дружит с компьютером. Ты легко орудуешь мышью, запуская всевозможные программы, виртуозно играешь в компьютерные игры, бесстрашно путешествуешь по сайтам Интернета. Ты с лёгкостью вставляешь в свою речь слова «перезагрузка», «рабочий стол», «чат»… Однако до сих пор ты пользовался готовыми программами и играл в чужие игры. Теперь у тебя появилась возможность стать творцом. Творцом собственных компьютерных сценариев, игр, мультфильмов, программ.

Название: Серия "Программирование для детей" в 12 книгах
Автор(ы): разные
Издательство: Москва
Год: 2017-2023
Страниц: 1000+
Формат: PDF
Размер: 193 Мб
Язык: русский

Программирование – одна из самых востребованных профессий в наше время, и она останется таковой в ближайшем будущем. Научите своих детей программировать уже сейчас с помощью этих книг! Вы найдете здесь много упражнений – полезных, интересных и забавных, поэтому ваш ребенок не заскучает. Материал написан доступно и просто, поэтому ему не составит труда освоить азы программирования.

Название: Ruby Programming: Building Future-proof Scalable Applications
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mastering Programming Languages Series
Год: 2024
Страниц: 545
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unleash the Power of Ruby! Embark on a transformative coding journey with "Ruby Programming: Building Future-proof Scalable Applications." This guide is your key to mastering one of today's most dynamic programming languages. If you're ready to go beyond syntax and unlock Ruby's full potential, your adventure begins here. Ruby isn't just a programming language; it's a versatile tool with applications across a myriad of domains. From web development using the powerful Ruby on Rails framework to serverless architectures, machine learning, microservices, and cross-platform development, this book sheds light on the diverse spectrum of applications where Ruby excels. Through practical examples and real-world scenarios, you'll witness Ruby's adaptability and efficacy in solving complex problems across different domains. At its core, Ruby is renowned for its versatility, allowing developers to seamlessly transition between procedural, object-oriented, and functional programming paradigms. "Ruby Programming" begins by unraveling the basics, ensuring a solid foundation for readers before embarking on the journey of building scalable applications. From simple scripts to complex web applications, Ruby's ease of use and expressiveness make it a powerful tool for a myriad of programming tasks.

Название: Calculus for Data Science
Автор: Hayden Van Der Post, Vincent Bisette
Издательство: Reactive Publishing
Год: 2024
Страниц: 338
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

In the rapidly evolving world of Data Science, proficiency in calculus serves as the foundation for tackling complex analytical challenges. "Calculus for Data Science" is the follow-up to the acclaimed best-seller that introduced you to the basics, now taking you on a deeper dive into the advanced techniques that will elevate your understanding and application of calculus in the Data Science field. This comprehensive guide is meticulously crafted for professionals who have grasped the essentials and are eager to extend their expertise into more sophisticated realms. With an emphasis on real-world applicability, "Calculus for Data Science" bridges the gap between theoretical constructs and their practical utility in data analysis, Machine Learning, and beyond. In Data Science, computational skills are as important as mathematical ones. A basic understanding of programming, particularly in languages like Python or R, will greatly enhance your ability to apply the concepts learned. Familiarity with data handling and manipulation techniques is also advantageous. Whether you are a student embarking on a Data Science career, a professional seeking to deepen your mathematical expertise, or a curious mind eager to explore the intersection of calculus and data, this book is for you.

Название: Starting Out With C++ From Control Structures to Objects (10th Edition)
Автор: Tony Gaddis
Издательство: Pearson Education
Год: 2021
Страниц: 1397
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Starting Out with C++: From Control Structures through Objects presents C++ programming concepts and techniques in clear, easy-to-understand language. Using his hallmark accessible, step-by-step approach, author Tony Gaddis covers control structures, functions, arrays, and pointers before objects and classes. Every chapter includes clear and easy-to-read code listings, concise and practical real-world examples, focused explanations, and an abundance of exercises. The 10th Edition includes improvements and updates to reflect the latest modern C++ language features, including tuples, lambdas, and new syntactic constructs such as the if statement with initialization. This text teaches C++ in a step-by-step fashion. Each chapter covers a major set of topics and builds knowledge as the student progresses through the book. Although the chapters can be easily taught in their existing sequence, some flexibility is provided. The diagram shown in Figure P-1 suggests possible sequences of instruction.

Название: Python Debugging for AI, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach
Автор: Dmitry Vostokov
Издательство: Apress
Год: 2024
Страниц: 244
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.36 MB

This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, Machine Learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you’ll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You’ll also be exposed to Python debugging techniques specific to cloud native and Machine Learning environments and explore how recent advances in AI/ML can help in Python debugging. Over the course of the book, case studies will show you how to resolve issues around environmental problems, crashes, hangs, resource spikes, leaks, and performance degradation. This includes tracing, logging, and analyziing memory dumps using native WinDbg and GDB debuggers. Upon completing this book, you will have the knowledge and tools needed to employ Python debugging in the development of AI, Machine Learning, and cloud computing applications.

Название: JVM Performance Engineering: Inside OpenJDK and the HotSpot Java Virtual Machine (Rough Cuts)
Автор: Monica Beckwith
Издательство: Oracle Press/Pearson
Год: 2024
Страниц: 272
Язык: английский
Формат: epub (true)
Размер: 10.7 MB

Dive into the depths of JVM performance engineering with Java Champion Monica Beckwith. JVM Performance Engineering is an essential guide for every seasoned Java developer. Demystifying the complexities of the Java Virtual Machine (JVM) performance, focusing on the OpenJDK HotSpot VM, Beckwith combines diagnostic techniques, performance methodologies, and effective optimizations with engaging case studies, practical applications, use-case diagrams, and process flowcharts. This book offers insights into the cutting-edge and future trends of Java performance. Review the evolution and inner workings of JVM performance, including architectural nuances, key performance factors, and intricacies of the HotSpot JVM. Witness the transformative journey of Java's type system--from static and strongly typed roots to innovative features like generics and lambda expressions--and see how each Java version revolutionized code efficiency. Dive into Project Valhalla's ambitious plans for inline classes and advanced generics, poised to redefine Java's performance and memory management. Uncover the pivotal shift from a monolithic framework to a modular approach brought by Project Jigsaw, and understand its profound impact on Java performance and the practical benefits of modular services. Discover the evolution of the Java HotSpot VM logging system and its influence on performance engineering, including the the new asynchronous logging mechanism for superior diagnostics, monitoring, and performance testing.

Название: Foundations of Data Science with Python
Автор: John M. Shea
Издательство: CRC Press
Серия: The Python Series
Год: 2024
Страниц: 503
Язык: английский
Формат: pdf (true)
Размер: 37.9 MB

Foundations of Data Science with Python introduces readers to the fundamentals of Data Science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to Data Science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics. This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics.