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91 books
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19 voters
Computation Books
Showing 1-50 of 865
Introduction to the Theory of Computation (Hardcover)
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avg rating 4.24 — 2,103 ratings — published 1996
Introduction to Algorithms (Hardcover)
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avg rating 4.35 — 9,319 ratings — published 1989
Gödel, Escher, Bach: An Eternal Golden Braid (Paperback)
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avg rating 4.29 — 52,504 ratings — published 1979
Structure and Interpretation of Computer Programs (Paperback)
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avg rating 4.47 — 4,855 ratings — published 1984
Compilers: Principles, Techniques, and Tools (Hardcover)
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avg rating 4.10 — 3,024 ratings — published 1986
Feynman Lectures On Computation (Frontiers in Physics)
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avg rating 4.26 — 478 ratings — published 1996
Code: The Hidden Language of Computer Hardware and Software (Paperback)
by (shelved 7 times as computation)
avg rating 4.40 — 10,559 ratings — published 1999
The C Programming Language (Paperback)
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avg rating 4.44 — 11,331 ratings — published 1978
Quantum Computing Since Democritus (Paperback)
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avg rating 4.15 — 1,066 ratings — published 2013
The Maniac (Hardcover)
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avg rating 4.34 — 26,355 ratings — published 2023
The Art of Computer Programming, Volume 1: Fundamental Algorithms (Hardcover)
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avg rating 4.38 — 1,887 ratings — published 1973
The Art of Computer Programming, Volume 2: Seminumerical Algorithms (Hardcover)
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avg rating 4.43 — 525 ratings — published 1969
Code Complete: A Practical Handbook of Software Construction (Paperback)
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avg rating 4.30 — 9,481 ratings — published 1993
Design Patterns: Elements of Reusable Object-Oriented Software (Hardcover)
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avg rating 4.20 — 11,949 ratings — published 1994
Superintelligence: Paths, Dangers, Strategies (Hardcover)
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avg rating 3.85 — 20,961 ratings — published 2014
Introduction to Automata Theory, Languages, and Computation (Hardcover)
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avg rating 4.06 — 669 ratings — published 1979
Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
by (shelved 5 times as computation)
avg rating 4.12 — 34,924 ratings — published 2016
The Nature of Computation (Hardcover)
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avg rating 4.59 — 111 ratings — published 2011
Computational Complexity: A Modern Approach (Hardcover)
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avg rating 4.32 — 137 ratings — published 2007
Clean Code: A Handbook of Agile Software Craftsmanship (Paperback)
by (shelved 5 times as computation)
avg rating 4.35 — 23,409 ratings — published 2007
The Algorithm Design Manual (Hardcover)
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avg rating 4.34 — 2,686 ratings — published 1997
The Pragmatic Programmer: From Journeyman to Master (Paperback)
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avg rating 4.33 — 24,022 ratings — published 1999
A New Kind of Science (Hardcover)
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avg rating 3.63 — 2,190 ratings — published 2002
Building a Universal Machine: A Hands-on Introduction to Computability (Paperback)
by (shelved 4 times as computation)
avg rating 5.00 — 9 ratings — published
Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Paperback)
by (shelved 4 times as computation)
avg rating 3.94 — 462 ratings — published 2007
Complexity: A Guided Tour (Hardcover)
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avg rating 4.11 — 3,518 ratings — published 2009
The Self-Taught Programmer: The Definitive Guide to Programming Professionally (Kindle Edition)
by (shelved 4 times as computation)
avg rating 3.96 — 975 ratings — published 2017
The Go Programming Language (Paperback)
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avg rating 4.43 — 1,769 ratings — published 2015
Hackers & Painters: Big Ideas from the Computer Age (Hardcover)
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avg rating 4.05 — 9,577 ratings — published 2004
Turing's Cathedral: The Origins of the Digital Universe (ebook)
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avg rating 3.60 — 4,709 ratings — published 2012
The Art of Computer Programming: Volume 3: Sorting and Searching (Hardcover)
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avg rating 4.42 — 512 ratings — published 1973
Concrete Mathematics: A Foundation for Computer Science (Hardcover)
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avg rating 4.34 — 1,864 ratings — published 1988
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography (Paperback)
by (shelved 4 times as computation)
avg rating 4.30 — 28,935 ratings — published 1999
Computers and Intractability: A Guide to the Theory of NP-Completeness (Series of Books in the Mathematical Sciences)
by (shelved 4 times as computation)
avg rating 4.15 — 212 ratings — published 1979
Types and Programming Languages (Mit Press)
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avg rating 4.27 — 591 ratings — published 2002
The Golden Ticket: P, NP, and the Search for the Impossible (Hardcover)
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avg rating 3.60 — 501 ratings — published 2013
Understanding Computation: From Simple Machines to Impossible Programs (Paperback)
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avg rating 4.25 — 281 ratings — published 2013
On Lisp: Advanced Techniques for Common Lisp (Paperback)
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avg rating 4.30 — 480 ratings — published 1993
The Information: A History, a Theory, a Flood (Hardcover)
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avg rating 4.04 — 17,095 ratings — published 2011
The Annotated Turing: A Guided Tour Through Alan Turing's Historic Paper on Computability and the Turing Machine (Paperback)
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avg rating 4.27 — 1,172 ratings — published 2008
Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People (Paperback)
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avg rating 4.42 — 5,372 ratings — published 2015
Operating Systems: Three Easy Pieces (Paperback)
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avg rating 4.71 — 814 ratings — published 2012
Sync: The Emerging Science of Spontaneous Order (Hardcover)
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avg rating 4.07 — 3,298 ratings — published 2003
Algorithms (Hardcover)
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avg rating 4.42 — 1,825 ratings — published 1983
Computer Systems: A Programmer's Perspective (Hardcover)
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avg rating 4.46 — 1,136 ratings — published 2002
Cryptonomicon (Mass Market Paperback)
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avg rating 4.23 — 116,887 ratings — published 1999
Designing Data-Intensive Applications (ebook)
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avg rating 4.70 — 10,547 ratings — published 2015
The Recursive Universe: Cosmic Complexity and the Limits of Scientific Knowledge (Paperback)
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avg rating 3.92 — 292 ratings — published 1984
Computability and Logic (Paperback)
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avg rating 4.13 — 167 ratings — published 1980
The Mathematical Theory of Communication (Paperback)
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avg rating 4.38 — 690 ratings — published 1949
“Thirty years ago, we used to ask: Can a computer simulate all processes of logic? The answer was yes, but the question was surely wrong. We should have asked: Can logic simulate all sequences of cause and effect? And the answer would have been no.”
― Mind and Nature: A Necessary Unity
― Mind and Nature: A Necessary Unity
“If you understand McCarthy's eval, you understand more than just a stage in the history of languages. These ideas are still the semantic core of Lisp today. So studying McCarthy's original paper shows us, in a sense, what Lisp really is. It's not something that McCarthy designed so much as something he discovered. It's not intrinsically a language for AI or for rapid prototyping, or any other task at that level. It's what you get (or one thing you get) when you try to axiomatize computation.”
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