Computer science can feel unapproachable for those without a formal CS education. Fun Computer Science Projects in Python pulls back that curtain, illuminating foundational CS concepts through creative, hands-on projects.
Each of the 8 projects is presented as 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
Introduction
Part I: Interpreters
Chapter 1: Brainfuck
Chapter 2: NanoBASIC
Part II: Computational Art
Chapter 3: Retro Dither
Chapter 4: Impressionist
Part III: Emulators
Chapter 5: CHIP-8
Chapter 6: NES
Part IV: Super Simple Machine Learning
Chapter 7: Classification with K-Nearest Neighbors
Chapter 8: Regression with K-Nearest Neighbors
Chapter 9: Conclusion and More Resources
Appendix: Bitwise Operations
The chapters in red are included in this Early Access PDF.
A repository of code and errata for this title can be found at the book's GitHub page.
