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The magazine said that the book was not easy to read, but that it would expose experienced programmers to both old and new topics. [8] A review of SICP as an undergraduate textbook by Philip Wadler noted the weaknesses of the Scheme language as an introductory language for a computer science course. [9]
Donald Knuth - The Art of Computer Programming; Ellen Ullman - Close to the Machine; Ellis Horowitz - Fundamentals of Computer Algorithms; Eric Raymond - The Art of Unix Programming; Gerald M. Weinberg - The Psychology of Computer Programming; James Gosling - The Java Programming Language; Joel Spolsky - The Best Software Writing I
[9]: xii Section 2.5 of "Fundamental Algorithms" is on Dynamic Storage Allocation. Parts of this are used in the Burroughs approach to memory management. Knuth claims credit for “The “boundary-tag” method, introduced in Section 2.5, was designed by the author in 1962 for use in a control program for the B5000 computer.” [9]: 460
000 Computer science, knowledge, and systems. 000 Computer science, information and general works; 001 Knowledge; 002 The book (writing, libraries, and book-related topics) 003 Systems; 004 Data processing and computer science; 005 Computer programming, programs, and data; 006 Special computer methods (e.g. AI, multimedia, VR) [4] 007–009 ...
The book also covers more recent developments, including topics like floating point math, operating systems, and ASCII. The book focuses on "pre-networked computers" and does not cover concepts like distributed computing because Petzold thought that it would not be as useful for "most people using the Internet", his intended audience. [ 4 ]
Compilers: Principles, Techniques, and Tools [1] is a computer science textbook by Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman about compiler construction for programming languages. First published in 1986, it is widely regarded as the classic definitive compiler technology text. [2]
EDSAC, on which the book was based, was the first computer in the world to provide a practical computing service for researchers. [2] Demand for the book was so limited initially that it took six years to sell out the first edition. [7] As computers became more common in the 1950s, the book became the standard textbook on programming for a time ...
Computer science (also called computing science) is the study of the theoretical foundations of information and computation and their implementation and application in computer systems. One well known subject classification system for computer science is the ACM Computing Classification System devised by the Association for Computing Machinery.