Structure and Interpretation of Computer Programs, second edition MIT Electrical Engineering and Computer Science
Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade.
Structure and Interpretation of Computer Programs, second edition MIT Electrical Engineering and Computer Science
Item #: 202364850

Structure and Interpretation of Computer Programs, second edition MIT Electrical Engineering and Computer Science

Item #: 202364850

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Shop Structure and Interpretation of Computer Programs, second edition MIT Electrical Engineering and Computer Science online at a best price in Cayman Islands. 0262510871
  • Long-awaited revised edition with changes throughout the text
  • New implementations of major programming systems, including interpreters and compilers
  • Incorporated many small changes based on teaching experience at MIT
  • Introduces a new theme emphasizing different approaches to dealing with time in computational models
  • Includes new example sections and many new exercises
  • All programs reworked to run in any Scheme implementation adhering to the IEEE standard
Publisher The MIT Press
Publication date July 25, 1996
Edition 2nd
Language English
Print length 688 pages
ISBN-10 0262510871
ISBN-13 978-0262510875
Item Weight 885 g
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

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Structure and Interpretation of Computer Programs, second edition MIT Electrical Engineering and Computer Science

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English Edition Harold Abelson , Gerald Jay Sussman Robotics Editorial Review

The "Structure and Interpretation of Computer Programs," second edition, is a well-regarded text in the field of computer science and programming theory, especially among those looking to deepen their understanding of programming languages. The content of the book is frequently praised for its depth and educational value, making it a staple resource that continues to be relevant even in rapidly changing technological landscapes. However, it's important to note that while the material is rich and rewarding, it poses significant challenges as a self-study resource. Readers may find themselves frustrated by the complexity and depth of the topics presented; this is not a light read intended for quick learning. Those who are willing to invest the time and effort into mastering the concepts often find that the benefits outweigh the difficulties encountered. This book demands engagement and perseverance, yet the comprehensive insights it provides into programming language theory are deemed highly valuable. Overall, the book is best suited for dedicated students and practitioners of computer science who are ready to tackle its rigor amidst rewarding learning outcomes. Its physical condition received mixed reviews primarily related to the book's flexible cover, but the content itself overwhelmingly garners positive feedback for its instructional quality. **

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Pros

  • In-depth and relevant content on programming languages theory
  • Excellent resource for self-study, provided the reader is prepared for challenges
  • Educational material that remains applicable even in modern programming contexts

Cons

  • Can be frustrating and difficult as a self-study text

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