Livre Computer Science From Scratch : Building Interpreters, Art, Emulators and ML in Python - David Kopec - Marjane Mall - Image 1
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Livre Computer Science From Scratch : Building Interpreters, Art, Emulators and ML in Python - David Kopec

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Marque : GENERIC
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Maîtrisez les principes fondamentaux de l'informatique grâce à cet ouvrage pratique de David Kopec, conçu pour les développeurs Python expérimentés. À travers une approche basée sur des projets concrets, ce livre de 280 pages vous guide dans la création d'un interpréteur BASIC, d'un émulateur NES, de projets d'art algorithmique et d'un modèle de ma...

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Description produit
Marque
GENERIC
Titre principal
Computer Science From Scratch: Building Interpreters, Art, Emulators and ML in Python
Editeur
No Starch Press
Type de produit
Paperback
Présentation du livre
Paperback
Release date
9/30/2025 12:00:00 AM
Langue d'origine
English
ISBN
1718504306
Dimensions
7.06 x 0.65 x 9.19 inches
Nombre de pages de livre
280 pages
Langue - Librairie
English
Résumé
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 interpreterEMULATORS: Learn computer architecture by building an NES emulator from the ground upGRAPHICS: Explore image manipulation and algorithmic art through computer graphics projectsMACHINE LEARNING: Demystify classification by implementing a simple, readable KNN modelThese 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. Read more
Auteur(s)
David Kopec
Date de parution
9/30/2025 12:00:00 AM