10 Must Read books for every computer science students

"Introduction to the Theory of Computation" by Michael Sipser:

A foundational book that introduces the theory of computation, including formal languages, automata, and complexity theory.

"Clean Code: A Handbook of Agile Software Craftsmanship" by Robert C. Martin: 

This book offers practical advice on writing clean, maintainable, and efficient code.

"Cracking the Coding Interview" by Gayle Laakmann McDowell:

A valuable resource for interview preparation, providing coding challenges and strategies for technical interviews.

"Design Patterns: Elements of Reusable Object-Oriented Software"

Learn essential design patterns that help in creating well-structured and maintainable software.

"Algorithms" by Robert Sedgewick and Kevin Wayne:

This comprehensive book covers a wide range of algorithms and data structures with clear explanations and examples.

"The Pragmatic Programmer: Your Journey to Mastery" by Andrew Hunt and David Thomas:

Offers practical tips and insights on becoming a more effective and pragmatic programmer.

"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig:

A classic textbook on AI that covers the fundamental concepts and techniques in artificial intelligence.

"Structure and Interpretation of Computer Programs" by Harold Abelson and Gerald Jay Sussman:

This book introduces fundamental principles of programming and computer science using Scheme, a Lisp dialect.

"Introduction to Algorithms" by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein:

A comprehensive guide to algorithms, widely used as a reference in computer science courses.

"Code: The Hidden Language of Computer Hardware and Software" by Charles Petzold:

A beginner-friendly book that explains how computers work, from the basics of binary code to the inner workings of hardware and software.

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