Programming in Standard ML ’97 is a comprehensive guide authored by Stephen Gilmore, a distinguished professor at the renowned University of Edinburgh. With a dedication to excellence and a profound understanding of the subject matter, Gilmore presents an extensive exploration of the programming language Standard ML in this timeless book.

This well-crafted work delves into the intricacies of Standard ML, offering both beginners and experienced programmers a valuable resource for learning and mastering this powerful language. Gilmore’s expertise shines through as he navigates readers through the fundamental concepts, syntax, and semantics of Standard ML. His concise yet accessible explanations make complex programming principles easily graspable, allowing readers to develop a solid foundation in the language.

Building upon the Standard ML ’97 specification, the book covers a wide range of topics, including data types, pattern matching, functions, modules, and type inference. Gilmore seamlessly weaves together theory and practice, providing numerous examples and exercises that reinforce the concepts discussed. By engaging with these exercises, readers can enhance their problem-solving skills and gain confidence in applying Standard ML to real-world programming challenges.

The author’s meticulous approach ensures that the book caters to different learning styles. Whether you prefer a hands-on coding approach or a more theoretical exploration of the language, Programming in Standard ML ’97 has you covered. Gilmore’s lucid explanations are complemented by code snippets and illustrations that bring the concepts to life, enabling readers to visualize and understand the inner workings of the language.

Programming in Standard ML ’97 stands out for its emphasis on good programming practices and its attention to detail. Gilmore not only focuses on teaching the language itself but also instills valuable principles of software engineering and code organization. By following his guidance, readers will acquire the skills necessary to write clean, maintainable, and efficient code in Standard ML.

Whether you are a computer science student, a professional programmer, or simply an enthusiast eager to expand your programming repertoire, this book is an indispensable companion. It equips you with the knowledge and tools needed to tackle programming challenges using Standard ML with confidence. With its comprehensive coverage, engaging style, and Gilmore’s expertise shining through every page, Programming in Standard ML ’97 is a must-have resource for anyone seeking to become proficient in this powerful programming language.