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Computer Science From Scratch

Building Interpreters, Art, Emulators and MP in Python

David Kopec

$105

Paperback

Forthcoming
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English
No Starch Press,US
04 November 2025
Test and sharpen your Python skills with seven guided projects that explore popular computer science challenges.

Test and sharpen your Python skills with seven guided projects that explore popular computer science challenges.

Computer science can feel unapproachable for those without a formal CS education. Fun Computer Science Projects in Python pulls back that curtain, illuminating several foundational CS concepts through creative, hands-on projects.

Each of the 7 projects is presented in a code-centric tutorial that gently introduces topics like interpreters, emulators, and machine learning without getting bogged down by complex theory. The projects showcase advanced Python language features and clean code principles while exploring interesting algorithms.

Chapters conclude with discussions of real-world applications of the topic and proposed exercises to extend the reader's skills. Covers Python 3.x
By:  
Imprint:   No Starch Press,US
Country of Publication:   United States
Dimensions:   Height: 236mm,  Width: 177mm, 
Weight:   369g
ISBN:   9781718504301
ISBN 10:   1718504306
Pages:   272
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Forthcoming
Introduction Part I: Interpreters Chapter 1: The Smallest Possible Programming Language Chapter 2: Writing a BASIC Interpreter Part II: Computational Art Chapter 3: Retro Image Processing Chapter 4: A Stochastic Painting Algorithm Part III: Emulators Chapter 5: Building a CHIP-8 Virtual Machine Chapter 6: Emulating the NES Game Console Part IV: Super Simple Machine Learning Chapter 7: Classification with K-Nearest Neighbors Chapter 8: Regression with K-Nearest Neighbors Afterword Appendix: Bitwise Operations

David Kopec is an associate professor of computer science at Champlain College. He is the author of five programming books, including the Classic Computer Science Problems series, and spent several years as an iOS developer for startups. In addition to his teaching work, David is an avid podcaster and indie app developer with an MS in Computer Science from Dartmouth and an EMBA from Quantic.

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