Think Like a Programmer: An Introduction to Creative Problem Solving
V. Anton Spraul
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Explore the vast and dynamic world of Computer Science and Theory, a cornerstone of innovation and technology in today's digital age.
Computer Science is an ever-evolving field that combines theoretical foundations with practical problem-solving. This category covers a wide array of topics, ranging from the fundamental principles of computation to advanced algorithms and data structures. Whether you are a beginner looking to understand the basics or an expert seeking deeper knowledge, our extensive collection of books in this category caters to every level of interest and expertise.
Algorithms and data structures are the heart of computer science, enabling efficient data processing and solution design. By exploring these essential topics, you'll learn how to design, analyze, and implement effective algorithms. Our books cover a range of concepts, from sorting and searching to graph algorithms and dynamic programming.
This area focuses on the theoretical underpinnings of computation, including automata theory, formal languages, and complexity theory. Understanding these concepts is crucial for appreciating the limits of what can be computed and provides insight into the development of new computational models and paradigms.
Programming languages are the medium through which computational logic is expressed. Explore the design and functionality of various programming languages, their syntax, semantics, and applications. Discover books that delve into language theory, compiler design, and language paradigms such as procedural, object-oriented, and functional programming.
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming industries and societies. Our selection includes comprehensive resources on the principles of AI, the design of intelligent systems, and hands-on guides for applying machine learning techniques to solve real-world problems. Learn about neural networks, natural language processing, and reinforcement learning.
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As technology continues to evolve, staying informed and educated in computer science is imperative. This category not only provides resources for foundational learning but also offers advanced knowledge for those ready to push the boundaries of what computing can achieve. Dive into our comprehensive offerings and discover the endless possibilities within the world of Computer Science and Theory.
V. Anton Spraul
John Chadam (auth.),Michel C. Delfour,Gert Sabidussi (eds.)
Kamala Krithivasan
Hans Henrich Hock,Brian D. Joseph
Xipeng Shen,Frank Mueller,James Tuck (eds.)
Nikrouz Faroughi


Kristina Chodorow,Michael Dirolf

Kazuyuki Shudo; Satoshi Sekiguchi; Yoichi Muraoka
Richard M. Martin (auth.),R. A. Abram,M. Jaros (eds.)
John M. Zelle

Ceri, Stefano; Matera, Maristella; Rizzo, Francesca; Demaldé, Vera
Rance Cleaveland (auth.),Jos C. M. Baeten,Sjouke Mauw (eds.)

Daigle, Ronald J.; Hayes, David C.; Hughes, K. E.

Hojjat, Hossein; Sirjani, Marjan; Arbab, Farhad
Ata Elahi

Brendon Cahoon; Kathryn S. McKinley
Jeffers, Jim;Reinders, James
Michael Moorhouse,Paul Barry
Abraham Silberschatz,Henry F. Korth,S. Sudarshan
Charles Petzold
Allen Downey
Eberhard Zeidler (auth.)
Peter Grun,Nikil D. Dutt,Alexandru Nicolau

Artak Amirbekyan; Vladimir Estivill-Castro
C.J.J. Tool,A.R. Burgers,P. Manshanden,A.W. Weeber
Ann B Beirne;Jacob A Sadavoy
Shavit, Nir;Herlihy, Maurice
Bedrick E.J.,Exuzides A.
Robert Sedgewick, Kevin Wayne