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Beschreibung
You know how to write Python. Now master the computer science that makes it work.

If you’ve been programming for a while, you may have found yourself wondering about the deeper principles behind the code. How are programming languages implemented? What does an interpreter really do? How does the microprocessor execute instructions at a fundamental level? How does a machine learning algorithm make decisions?

Computer Science from Scratch is for experienced Python programmers who want to fill in those gaps—not through abstract lectures, but through carefully designed projects that bring core CS concepts to life. Understanding these fundamental building blocks will make you a more versatile and effective programmer.

Each chapter presents a focused, hands-on project that teaches a fundamental idea in computer science:
  • INTERPRETERS: Understand syntax, parsing, and evaluation by writing a BASIC interpreter
  • EMULATORS: Learn computer architecture by building an NES emulator from the ground up
  • GRAPHICS: Explore image manipulation and algorithmic art through computer graphics projects
  • MACHINE LEARNING: Demystify classification by implementing a simple, readable KNN model

These projects aren’t about building tools—they’re structured lessons that use code to reveal how computing works. Each chapter concludes with real-world context, thoughtful extensions, and exercises to deepen your understanding.

Authored by David Kopec, a computer science professor and author of the popular Classic Computer Science Problems series, this is not a beginner’s book, and it’s not a theory-heavy academic text. It’s a practical, code-driven introduction to the essential ideas and mechanisms of computer science—written for programmers who want more than syntax.

If you’ve been writing Python and are ready to explore the foundations behind computing, this book will guide you there—with clarity, depth, and purpose.
You know how to write Python. Now master the computer science that makes it work.

If you’ve been programming for a while, you may have found yourself wondering about the deeper principles behind the code. How are programming languages implemented? What does an interpreter really do? How does the microprocessor execute instructions at a fundamental level? How does a machine learning algorithm make decisions?

Computer Science from Scratch is for experienced Python programmers who want to fill in those gaps—not through abstract lectures, but through carefully designed projects that bring core CS concepts to life. Understanding these fundamental building blocks will make you a more versatile and effective programmer.

Each chapter presents a focused, hands-on project that teaches a fundamental idea in computer science:
  • INTERPRETERS: Understand syntax, parsing, and evaluation by writing a BASIC interpreter
  • EMULATORS: Learn computer architecture by building an NES emulator from the ground up
  • GRAPHICS: Explore image manipulation and algorithmic art through computer graphics projects
  • MACHINE LEARNING: Demystify classification by implementing a simple, readable KNN model

These projects aren’t about building tools—they’re structured lessons that use code to reveal how computing works. Each chapter concludes with real-world context, thoughtful extensions, and exercises to deepen your understanding.

Authored by David Kopec, a computer science professor and author of the popular Classic Computer Science Problems series, this is not a beginner’s book, and it’s not a theory-heavy academic text. It’s a practical, code-driven introduction to the essential ideas and mechanisms of computer science—written for programmers who want more than syntax.

If you’ve been writing Python and are ready to explore the foundations behind computing, this book will guide you there—with clarity, depth, and purpose.
Über den Autor
David Kopec
Inhaltsverzeichnis
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
Details
Erscheinungsjahr: 2025
Fachbereich: Programmiersprachen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781718504301
ISBN-10: 1718504306
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kopec, David
Hersteller: Random House LLC US
No Starch Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 231 x 177 x 20 mm
Von/Mit: David Kopec
Erscheinungsdatum: 30.09.2025
Gewicht: 0,538 kg
Artikel-ID: 134036521

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