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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; Keith Curtis - After the Software Wars; Richard M. Stallman - Free Software, Free Society
Code: The Hidden Language of Computer Hardware and Software; Compilers: Principles, Techniques, and Tools; Computer Graphics: Principles and Practice; Computers and Intractability; Concepts, Techniques, and Models of Computer Programming; Concrete Mathematics
[[Category:Computer science templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Computer science templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
Creating the Computer: Government, Industry and High Technology. Brookings Institution. ISBN 978-0-8157-2849-8. Garfinkel, Simson L. (1999). Architects of the Information Society: Thirty-Five Years of the Laboratory for Computer Science at MIT. MIT Press. ISBN 0-262-07196-7. Gerovitch, Slava (2002).
The Art of Computer Programming (TAOCP) is a comprehensive monograph written by the computer scientist Donald Knuth presenting programming algorithms and their analysis. Volumes 1–5 are intended to represent the central core of computer programming for sequential machines.
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]
Download QR code; Print/export Download as PDF; Printable version; In other projects ... Computer books: Software development books: Computer programming books.
The book treats mostly 2- and 3-dimensional geometry. The goal of the book is to provide a comprehensive introduction into methods and approached, rather than the cutting edge of the research in the field: the presented algorithms provide transparent and reasonably efficient solutions based on fundamental "building blocks" of computational ...