Computer Science From Scratch

Building Interpreters, Art, Emulators and MP in Python

David Kopec (Autor)

Buch | Softcover

272 Seiten

2025
No Starch Press,US (Verlag)
978-1-7185-0430-1 (ISBN)

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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

David Kopec is an associate professor of computer science at Albright 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.

Acknowledgments
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
Index

Erscheinungsdatum	16.09.2025
Verlagsort	San Francisco
Sprache	englisch
Maße	177 x 236 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
ISBN-10	1-7185-0430-6 / 1718504306
ISBN-13	978-1-7185-0430-1 / 9781718504301
Zustand	Neuware