
Elements of ML Programming: ML97 by Jeffrey Ullman β A Complete Tutorial and Reference on Functional Programming
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Product Description
Introduction
In the ever-evolving landscape of programming languages, ML (Meta Language) stands out as a powerful functional programming language that has shaped the way we think about type inference, pattern matching, and modular programming. 'Elements of ML Programming: ML97' by Jeffrey Ullman is a definitive guide that introduces students and professionals alike to the elegance and rigor of functional programming through the lens of ML97. Published by Pearson and authored by a renowned computer scientist, this hardcover edition is an essential addition to the library of any serious programmer or computer science student in India.
Book Overview
This book is designed as both a beginner-friendly tutorial and a comprehensive reference. It assumes no prior knowledge of ML or functional programming, making it accessible for those taking their first steps into this paradigm. At the same time, it delves deep into advanced features such as modules, functors, and type inference, offering a complete resource for experienced developers. The author uses a wide variety of digestible program examples to guide readers at a comfortable pace, ensuring that complex concepts are broken down into manageable steps. Whether you are studying for a course, preparing for competitive programming, or exploring functional programming for research, this book provides a solid foundation.
Key Highlights
- Step-by-Step Tutorial: The book begins with the basics and gradually builds up to advanced topics, making it easy for beginners to follow.
- Complete Reference: It covers all features of ML97, including type inference, pattern matching, recursion, and higher-order functions.
- Practical Examples: Numerous program snippets and exercises help solidify understanding through hands-on practice.
- Authoritative Author: Written by Jeffrey Ullman, a distinguished computer science educator and researcher known for his contributions to database theory and compilers.
- Hardcover Quality: Durable binding ensures longevity, ideal for repeated reference in academic or professional settings.
Inside the Book
The content is organized to take the reader from fundamental concepts to sophisticated programming techniques. Early chapters introduce the ML environment, basic data types, and simple functions. As the reader progresses, topics like lists, trees, and user-defined datatypes are explored with clarity. The middle sections focus on modular programming, including signatures, structures, and functors, which are key to building large-scale applications. Later chapters tackle advanced topics such as lazy evaluation, continuations, and the type system in depth. Each chapter ends with exercises that challenge the reader to apply what they have learned, making it suitable for both self-study and classroom use.
Key Topics
- Introduction to ML97: Syntax, environment, and basic constructs.
- Type Inference and Polymorphism: Understanding ML's powerful type system.
- Pattern Matching and Recursion: Core functional programming techniques.
- Lists and Trees: Working with recursive data structures.
- Higher-Order Functions: Functions that take and return functions.
- Modules, Signatures, and Functors: Building reusable and maintainable code.
- Abstract Data Types: Encapsulation and information hiding.
- Advanced Type Features: Overloading, equality types, and type classes.
- Imperative Features in ML: References, arrays, and input/output.
- Formal Semantics: A deeper look into how ML programs are evaluated.
Reader Benefits
By studying this book, readers will develop a strong intuition for functional programming, which is increasingly relevant in modern software development. ML's influence can be seen in languages like Haskell, OCaml, and even in features of Python and JavaScript. Understanding ML sharpens analytical thinking and problem-solving skills. Additionally, the book's emphasis on type inference helps programmers write safer, more reliable code. Indian students preparing for competitive programming or software engineering roles will find the logical rigor of ML invaluable for cracking complex algorithmic problems.
Learning Outcomes
- Gain a thorough understanding of functional programming concepts and paradigms.
- Master the ML97 language, from basic syntax to advanced module systems.
- Learn to design and implement recursive algorithms efficiently.
- Develop skills to write type-safe, modular, and reusable code.
- Acquire the ability to read and analyze formal program semantics.
- Build a foundation for learning other functional languages like Haskell or OCaml.
Who Should Read
This book is ideal for undergraduate and postgraduate computer science students in Indian universities who are taking courses on programming languages, functional programming, or discrete mathematics. It is also highly recommended for software developers and engineers who wish to broaden their programming horizons and adopt a functional mindset. Self-learners and hobbyists with a basic understanding of programming will find the tutorial approach very welcoming. Researchers and academics will appreciate the depth of coverage on advanced topics.
About the Author
Jeffrey Ullman is a celebrated computer scientist and professor emeritus at Stanford University. He has co-authored seminal texts on compilers, database systems, and automata theory. His contributions to computer science education are immense, and his clear, methodical writing style makes complex subjects accessible. With 'Elements of ML Programming', he brings the same pedagogical excellence to the world of functional programming.
About the Publisher
Pearson is a global leader in educational publishing, known for delivering high-quality academic and professional books. Their commitment to accuracy and clarity ensures that this hardcover edition meets the needs of serious learners. For Indian readers, Pearson offers reliable distribution and content that aligns with university curricula.
Conclusion
'Elements of ML Programming: ML97' is more than just a programming bookβit is a gateway to understanding the principles that underpin modern software design. Whether you are a student in Bangalore preparing for exams, a developer in Mumbai looking to upgrade your skills, or a researcher in Delhi exploring formal methods, this book will serve as a trusted companion. Order your hardcover copy from Bookshops.in today and embark on a journey into the elegant world of functional programming.
Quick Summary
Elements of ML Programming: ML97 by Jeffrey Ullman is a definitive guide that introduces readers to the ML programming language from the ground up. Written by a world-renowned computer science educator and researcher, this book assumes no prior knowledge of ML or functional programming, making it accessible to beginners while still offering deep insights for advanced learners. The book is structured as both a step-by-step tutorial and a complete reference, covering everything from basic syntax and type inference to advanced topics like higher-order functions, modules, exceptions, and input/output. Each concept is illustrated with clear, digestible program examples that help Indian students and professionals build practical skills. Whether used in a classroom setting or for self-study, this hardcover edition from Pearson is a durable resource that will serve readers for years. By purchasing from Bookshops.in, you get authentic, high-quality print books delivered across India, ensuring a seamless learning experience.
Book Highlights
Book Specifications
| ISBN-13 | 9780137903870 |
| ISBN-10 | 0137903871 |
| Publisher | β Pearson College Div |
| Language | β English |
| Dimensions | β 22.86 x 2.29 x 17.53 cm |
| Weight | β 522 g |
| Category | Programming & Software Development βΊ Introduction to Programming |
| Genre | Non-fiction |
| Original Language | English |
Frequently Asked Questions
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