Classic Computer Science Problems in Python deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Computer
This stunning 224-page hardback book not only tells the stories of some of the seminal video games of the 1970s and 1980s, but shows you how to create your own games inspired by them using Python and Pygame Zero, following examples programmed by Raspberry Pi founder Eben Upton. In the first of two volumes, we remake five classic video games - ranging from Pong to Sensible Soccer, each re
Developing Graphics Frameworks with Python and OpenGL shows you how to create software for rendering complete three-dimensional scenes. The authors explain the foundational theoretical concepts as well as the practical programming techniques that will enable you to create your own animated and interactive computer-generated worlds. You will learn how to combine the power of OpenGL, the m
This book takes a single line of code - the extremely concise BASIC program for the Commodore 64 inscribed in the title - and uses it as a lens through which to consider the phenomenon of creative computing and the way computer programs exist in culture. The authors of this collaboratively written book treat code not as merely functional but as a text - in the case of 10 PRINT, a text th
The author argues that while cryptology has a reputation for being complex and difficult to master - often associated with advanced theories like number theory, complexity theory, and quantum computation - many of its foundational concepts are actually accessible and practical. They emphasize that the best way to understand these basics is through hands-on experience, particularly by wor
As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they ca
How to Think Like a Computer Scientist is an introductory programming book based on the OCaml language. It is a modified version of Think Python by Allen Downey. It is intended for newcomers to programming and also those who know some programming but want to learn programming in the function-oriented paradigm, or those who simply want to learn OCaml. OCaml is a powerful high-level progra
The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understandin
This 2d volume describes the systematic application of Promise Theory to systems, representing a significant step forward in describing functional systems with both dynamics and semantics. By combining quantitative and qualitative descriptions in a single framework, Promise Theory provides the first impartial language for multiscale system phenomena. The closer one is the intrinsic scale
This book offers a comprehensive introduction to functional programming using Haskell, a powerful and modern functional language. It covers core concepts, practical applications, and advanced techniques, emphasizing clarity, correctness, and real-world relevance. The 3rd edition of one of the leading textbooks for beginning functional programmers is thoroughly revised throughout. Revisio