Litgu.ru - Литературный Гуру

Название: Beyond Effective Go: Part 2 - Striving for High-Quality Code
Автор: Corey Scott
Издательство: Corey S. Scott
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf, epub
Размер: 10.19 MB

Discover the unique secrets to writing high-quality code efficiently and effectively and dramatically improve your development productivity. Building on the success of Beyond Effective Go—Part 1: Achieving High-Performance Code, Corey shares wisdom and practical approaches to software engineering, software design, and code UX that will set you on the path to success. This series doesn’t waste time on the basics but dives straight into the solutions for the everyday challenges that professional programmers face. With clear explanations and real-world examples, you'll gain the skills to build performant, maintainable, and testable applications in Go efficiently and effectively. Unlike many programming books, Beyond Effective Go focuses on the programmer and the code. Whether you're building large-scale backend services or convenient automation tools, the book will help you write maintainable, high-quality code that meets the needs of your users, programmers, and your business.

Название: Graph Learning Techniques
Автор: Baoling Shan, Xin Yuan, Wei Ni, Ren Ping Liu, Eryk Dutkiewicz
Издательство: CRC Press
Год: 2025
Страниц: 186
Язык: английский
Формат: pdf (true), epub
Размер: 23.4 MB

This comprehensive guide addresses key challenges at the intersection of Data Science, Graph Learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for complex problems. Graphs serve as a widely recognized representation of the network structure of interconnected data. They appear in various application domains, including social systems, ecosystems, biological networks, knowledge graphs, and information systems. As Artificial Intelligence technologies continue to advance, Graph Learning (i.e., Machine Learning applied to graphs) is attracting increasing interest from both researchers and practitioners. This approach has proven effective for numerous tasks, such as classification, link prediction, and matching, by utilizing Machine Learning algorithms to extract pertinent features from graphs. This resource is a valuable reference for advance undergraduate and postgraduate students in courses related to Network Analysis, Privacy and Security in Data Analytics, and Graph Theory and Applications in Healthcare.

Название: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes, 2nd Edition
Автор: Brendan Burns
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 220
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.1 MB

Every distributed system strives for reliability, performance, and quality, but building such a system is hard. Establishing a set of design patterns enables software developers and system architects to use a common language to describe their systems and learn from the patterns and practices developed by others. The popularity of containers and Kubernetes paves the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help guide the systems you build using common patterns and practices drawn from some of the highest performing distributed systems in use today. These common patterns make the systems you build far more approachable and efficient, even if you've never built a distributed system before. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system.

Название: The Definitive Guide to Modern Java Clients with JavaFX: Cross-Platform Mobile and Cloud Development Updated for JavaFX 21 and 23, 3rd Edition
Автор: Stephen Chin, Johan Vos, James Weaver
Издательство: Apress
Год: 2024
Страниц: 637
Язык: английский
Формат: True PDF, True EPUB
Размер: 29.3 MB

Build enhanced visual experiences and design and deploy modern, easy-to-maintain, client applications across a variety of platforms. This book will show you how these applications can take advantage of JavaFX's latest user interface components, 3D technology, and cloud services to create immersive visualizations and allow high-value data manipulation. This book is a professional reference for building Java applications for desktop, mobile, and embedded in the Cloud age. It offers end-to-end coverage of the latest features in JavaFX 21 and 23. This third edition has been updated to include new features introduced in JavaFX 21 and 23, including NEW APIs: Map, FlatMap, and OrElse fluent bindings for ObservableValue, along with the new Subscription API. Additionally, it's updated to account for new bug fixes and overall improvements to existing functionality in Java. For professional Java developers who are interested in learning the latest client Java development techniques to fill out their skills set.

Название: jаvascript: самый быстрый курс
Автор: Алекс Ерофеев
Издательство: Stepik
Год: 2024
Формат: html
Страниц: много
Размер: 136 Mb
Язык: Русский

Этот курс очень хорошо структурирован, поэтому он самый короткий из существующих курсов. В курсе есть вся база для того чтобы стать разработчиком, после завершения вы сможете сделать свой проект на jаvascript. Цель курса максимально быстро и точно погрузить Вас в прекрасный мир разработки. Выбирайте jаvascript - самый динамичный язык на сегодняшний день!

Название: Learn Data Science Fundamentals: A Beginner's Guide To Data Science Programs, Analysis And Visualization
Автор: Declan Ashford
Издательство: Independently published
Год: 2024
Страниц: 246
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Are you eager to dive into the world of Data Science but unsure where to begin? Do you want to gain the skills to analyze and visualize data like a pro, even if you have no prior experience? Learn Data Science Fundamentals is your comprehensive guide to mastering the foundational concepts of Data Science, equipping you with the tools and techniques needed to thrive in today’s data-driven landscape. This book is designed to take you from a complete novice to a confident Data Science practitioner, guiding you through each step of the process with clear explanations and practical examples. Whether you’re looking to enhance your career, transition into a data-focused role, or simply satisfy your curiosity, this guide offers everything you need to get started. Understand the core tools and programming languages used in Data Science, including Python, R, SQL, and more. Learn how to set up your environment and get comfortable with the interfaces that professionals use every day. Go beyond the basics with techniques for transforming, aggregating, and merging datasets. Learn how to use libraries like Pandas and NumPy to perform complex operations with ease.

Название: Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6th Edition
Автор: George Luger
Издательство: Pearson
Год: 2009
Формат: pdf
Страниц: 779
Размер: 13,5 Мб
Язык: английский


In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.

Название: Fault Diagnosis and Prognostics Based on Cognitive Computing and Geometric Space Transformation
Автор: Chen Lu, Laifa Tao, Jian Ma, Yujie Cheng, Yu Ding
Издательство: Springer
Год: 2024
Страниц: 565
Язык: английский
Формат: pdf (true)
Размер: 47.8 MB

This monograph introduces readers to new theories and methods applying cognitive computing and geometric space transformation to the field of fault diagnosis and prognostics. It summarizes the basic concepts and technical aspects of fault diagnosis and prognostics technology. Existing bottleneck problems are examined, and the advantages of applying cognitive computing and geometric space transformation are explained. In turn, the book highlights fault diagnosis, prognostic, and health assessment technologies based on cognitive computing methods, including Deep Learning (DL), Transfer Learning, visual cognition, and compressed sensing. Lastly, it covers technologies based on differential geometry, space transformation, and pattern recognition.

Название: Python Programming For Beginners - Practical Lessons for Building Real-World Applications
Автор: Anthony Joseph
Издательство: Independently published
Год: 2025
Страниц: 205
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

This eBook, "Python Programming for Beginners - Practical Lessons for Building Real-World Applications", provides a comprehensive introduction to Python through ten structured chapters. It starts by explaining why Python is popular, guiding you through environment setup, and teaching essential syntax and data types. You then learn about more advanced subjects such as control flow, functions, and how to write clean, modular code. The book goes deeper into data structures, including dictionaries, lists, tuples, and sets, illustrating how each one is suited for different tasks. You also discover the fundamentals of object-oriented programming—classes, inheritance, and encapsulation—making it easier to design maintainable applications. The chapters on error handling show how to manage exceptions and create custom error types, ensuring your code remains robust. You learn how to work with files, directories, and popular libraries such as NumPy, Pandas, and Requests, exploring data manipulation and API integration. Finally, the eBook culminates in a real-world project, walking you through step-by-step project organization, core feature implementation, testing, and deployment strategies.

Название: Mathematics for Data Science: Linear Algebra with Matlab
Автор: César Pérez López
Издательство: Scientific Books
Год: 2025
Страниц: 447
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Mathematics is an essential toolset for data scientists. By mastering these mathematical concepts, data scientists can better understand the underlying mechanisms of Machine Learning algorithms, improve their ability to clean and manipulate data, and make more accurate predictions and decisions based on data. Matlab has functions that allow easy work in Linear Algebra. In this book, typical algebra topics are developed, such as work in discrete mathematics through numerical algebra in the real and complex fields. Work with algebraic expressions, polynomials, equations, systems of equations, matrices, vector spaces, linear maps, and quadratic forms is presented. Matrix algebra is specially developed with advanced treatment of eigenvalues, eigenvectors and diagonalization. He also delves into drawing curves and surfaces in explicit, implicit, parametric, and polar coordinates. The concepts are accompanied by examples solved step by step with Matlab.