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Top Computer Science Textbooks

These textbooks are commonly used in undergraduate and graduate computer science degree programs. They cover essential topics in algorithms, programming, systems, theory, AI, and more.

Algorithms & Data Structures

• Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein (CLRS)
• Algorithms (4th Edition) by Robert Sedgewick, Kevin Wayne
• The Art of Computer Programming by Donald E. Knuth
• Concrete Mathematics by Ronald L. Graham, Donald E. Knuth, Oren Patashnik

Programming & Software Development

• The C Programming Language by Brian W. Kernighan, Dennis M. Ritchie
• Structure and Interpretation of Computer Programs (SICP) by Harold Abelson, Gerald Jay Sussman
• Clean Code by Robert C. Martin
• The Pragmatic Programmer by Andrew Hunt, David Thomas
• Code Complete by Steve McConnell
• A Philosophy of Software Design by John Ousterhout
• Design Patterns by Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides
• Practical Programming by Paul Gries, Jennifer Campbell, Jason Montojo

Computer Systems & Architecture

• Computer Systems: A Programmer's Perspective by Randal E. Bryant, David R. O’Hallaron
• Operating System Concepts by Abraham Silberschatz, Peter B. Galvin, Greg Gagne
• Computer Organization and Design by David A. Patterson, John L. Hennessy
• Computer Systems: An Integrated Approach by Ramachandran & Leahy
• Code: The Hidden Language of Computer Hardware and Software by Charles Petzold

Theory of Computation

• Introduction to the Theory of Computation by Michael Sipser

Discrete Mathematics

• Discrete Mathematics and Its Applications by Kenneth H. Rosen

Databases

• Database System Concepts by Abraham Silberschatz, Henry F. Korth, S. Sudarshan
• Fundamentals of Database Systems by Ramez Elmasri, Shamkant B. Navathe

Artificial Intelligence

• Artificial Intelligence: A Modern Approach by Stuart Russell, Peter Norvig

Computer Networking

• Computer Networking: A Top-Down Approach by James Kurose, Keith Ross
• Computer Networks by Andrew S. Tanenbaum

Compilers

• Compilers: Principles, Techniques, and Tools by Alfred V. Aho, Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman (The Dragon Book)

Modern Systems & Data Engineering

• Designing Data-Intensive Applications by Martin Kleppmann

Introductory Textbooks

• Computer Science Illuminated by Nell Dale, John Lewis

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