Algorithm

揭开图论在软件测试中的强大潜力，彻底改变你的测试思维方式！本书结合图论理论与真实 Java 案例，帮助测试工程师与开发者构建更智能、高效、稳定的测试策略。特别适用于希望优化 CI/CD 流程与微服务测试的技术人员。

Audiencing is something we do everyday. We do it all the time. In fact, we are so familiar with giving attention to someone or something how we audience and the types of audiencing we are do are invisible. This book makes visible four types of audiencing, and you will discover what it means to do each form of audiencing and why this matters. Playful popular quotes, academic research, and anecdotes from numerous fields of endeavour from computer programming to jujitsu, from movie editing to watching a friend play football, are all used to demonstrate the characteristics and challenges of each audiencing type. Audiencing presents a far-reaching concept and a useful language to see and understand ourselves as audiences in our work and study, in the arts, communications, sport, on the internet, and in our everyday lives as we audience each other. To discover more – audience on.

¿Preparándote para entrevistas técnicas? Este libro es para ti. Aprende a resolver desafíos de arrays y strings, las estructuras más comunes y fundamentales en cualquier prueba técnica. Con un enfoque paso a paso, en tres lenguajes (PHP, Javascript y Python), te ayudará a pensar de forma ordenada, escribir soluciones limpias y entender lo que estás haciendo. Forma parte de la colección Tidy DSA, donde el objetivo no es memorizar, sino razonar con claridad.

Efficient Algorithm Design provides a deep dive into advanced algorithm topics, combining theory with practical applications. Ideal for software engineers, data scientists, and computer science students looking to enhance their algorithmic skills.

"How Does Computer Science Work?" answers 28 key questions every software engineer should know, unraveling the technologies that shape our digital world. From how browsers work and cryptography secures data to AI, Web3, and quantum computing, this book bridges curiosity and understanding. Perfect for students, self-taught programmers, and seasoned developers, it’s your ultimate guide to mastering foundational concepts and cutting-edge innovations in computer science.

With six new chapters, Deep Reinforcement Learning Hands-On Second edition is completely updated and expanded with the very latest reinforcement learning (RL) tools and techniques, providing you with an introduction to RL, as well as the hands-on ability to code intelligent learning agents to perform a range of practical tasks.

C++ High Performance, Second Edition enables you to measure and identify bottlenecks in the code and eradicate them to amplify your application’s working speed without compromising the readability of your C++ codebase

Event-driven architecture in Golang makes it extremely easy to adapt to ever-demanding software systems, that need to be updated based on changing requirements. This book provides a hands-on approach to implementation of event-driven architecture and associated methodologies that will have you up and running and productive, in no time.

Algorithms play an important role in computing, so a deeper understanding of an algorithm's logic and mathematics is essential. Beyond traditional computing, being able to apply these algorithms to real-world problems is a necessary skill and what this book focuses on.

In this age of AI revolution, where the impossible seems within reach, the truth remains the same -- conquering the market isn't simple. This guide reveals the reality of robust institutional applications in Equities, Futures, and Forex.

This book covers the most important software development techniques, libraries, and utilities unique to C++ that every C++ developer can use to refactor their code base. This will simplify development, enabling you to create performant apps.

As machine learning algorithms become more powerful, data scientists need a clear grasp of their key components. This book explains the core math principles underpinning the most used algorithms, detailing their importance and practical applications.

Designed for JavaScript developers, this handbook dives into the practical implementation of advanced data structures such as B-Trees, Tries, and probabilistic models like Bloom Filters. Focused on real-world challenges, it explains how to handle large datasets, optimize caching, and implement efficient searches. With clear examples and technical depth, this book offers a realistic approach to applying advanced concepts in scalable and reliable systems.

Dive into the world of AI-driven writing by mastering prompt engineering for diverse applications, from content creation to chatbots. Discover the potential of LLMs for idea generation, overcoming writer's block, boosting productivity, and more.

Explore the nuances of transitioning from high-level languages to Rust with this book. Navigate potential frustrations arising from differences in modeling asynchronous program flow and recognize the need for a fundamental understanding of the topic.