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Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science)

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Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science)

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Hvad der skiller sig ud

Comprehensive Curriculum

This edition provides an in-depth exploration of fundamental programming concepts, making complex theories accessible to beginners and valuable for advanced learners in computer science.

Interactive Approach

Engages readers with practical exercises and real-world applications, enhancing the learning experience and enabling users to apply programming theories effectively.

Reputable Source

Authored by experts at MIT, this book ensures authoritative content, positioning itself as a trusted resource for students and professionals aiming to understand computer science principles deeply.

Produktdetaljer

Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

Publisher	The MIT Press
Publication date	September 1, 1996
Edition	2nd
Language	English
Print length	657 pages
ISBN-10	0262510871
ISBN-13	978-0262510875
Item Weight	1.95 pounds (880 grams)
Reading age	18 years and up
Dimensions	9 x 6 x 1.2 inches (22.9 x 15.2 x 3 cm)
Part of series	MIT Electrical Engineering and Computer Science
Grade level	12 and up

Hvem bør købe?

Computer Science Students
Ideal for undergraduate students looking to understand foundational concepts in programming and computer science principles.
Aspiring Programmers
Great for self-taught programmers seeking to deepen their knowledge of algorithms, data structures, and logical thinking.
Academic Professionals
Suitable for educators and researchers aiming to teach programming principles and computational thinking effectively.

Beginner Learners
Not suited for those with no programming experience, as it assumes some prior knowledge of programming concepts.

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Software Development Editorial Review

Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science) is a comprehensive resource that delves deep into the realm of functional programming, linking complex mathematical concepts with practical programming insights. This book focuses on how functions operate in a theoretical context, emphasizing how imperative programming can often lead to complications due to mutable state. Readers have appreciated the clarity provided by the authors on functioning without the constraints of side effects commonly seen in procedural programming. While some may find the advanced mathematical approach daunting, those willing to invest time into understanding the material will emerge with a fresh perspective on programming and computer science, especially in areas concerning recursion and pure functions.

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Explores deep connections between math and programming
Clarifies concepts of functional programming
Provides insights into recursion and pure functions
Ideal for readers with strong math backgrounds
Encourages a fresh perspective on programming

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Advanced math may challenge some readers

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Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science)