Category: Computer Science Books Computer science is a vast field that encompasses various domains such as algorithms, data structures, programming languages, software engineering, artificial intelligence, machine learning, databases, computer networks, operating systems, computer graphics, and more. In this review, we will discuss five popular books in the category of computer science books: Computer Science Distilled, Domain-Driven Design Distilled, Designing Data-Intensive Applications, Domain-Driven Design, and SAFe 4.0 Distilled. Computer Science Distilled by Richard Hamming is a classic book that provides an introduction to the art of solving computational problems. The author introduces various concepts such as algorithms, data structures, sorting, searching, and more. He also discusses common pitfalls in programming and how to avoid them. This book is suitable for beginners who want to learn the basics of computer science. Domain-Driven Design Distilled by Vaughn Vernon provides an introduction to domain-driven design (DDD), a software development approach that emphasizes business domain knowledge over technical expertise. The author introduces various concepts such as bounded contexts, aggregates, repositories, and services. He also discusses how DDD can help in building scalable, maintainable, and reliable systems. This book is suitable for developers who want to learn about DDD and its benefits. Designing Data-Intensive Applications by Martin Fowler provides an introduction to the big ideas behind designing data-intensive applications. The author discusses various concepts such as distributed systems, data modeling, caching, and more. He also provides practical advice on how to design scalable, reliable, and maintainable systems. This book is suitable for developers who want to learn about designing data-intensive applications. Domain-Driven Design by Eric Evans provides an in-depth introduction to domain-driven design (DDD). The author introduces various concepts such as bounded contexts, aggregates, repositories, and services. He also discusses how DDD can help in building scalable, maintainable, and reliable systems. This book is suitable for developers who want to learn about DDD and its benefits in detail. SAFe 4.0 Distilled by Kevin Behr provides an introduction to the Scaled Agile Framework (SAFe), a software development approach that helps organizations scale agile practices across multiple teams and projects. The author introduces various concepts such as portfolios, programs, releases, and sprints. He also discusses how SAFe can help in improving collaboration, communication, and alignment among stakeholders. This book is suitable for managers who want to learn about SAFe and its benefits. In conclusion, these five books provide an excellent introduction to various concepts in computer science such as algorithms, data structures, programming languages, software engineering, artificial intelligence, machine learning, databases, computer networks, operating systems, computer graphics, and more. They also discuss how to design scalable, reliable, and maintainable systems using domain-driven design (DDD), designing data-intensive applications, and the Scaled Agile Framework (SAFe).