9781718504301 - Computer Science From Scratch: Building Interpreters, Art, Emulators and ML in Python von Kopec, David (12 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: as new. Wie neu/Like new.

Zustand: New.

Paperback. Zustand: Brand New. 272 pages. 9.25x7.00x9.19 inches. In Stock.

Paperback. Zustand: Brand New. 272 pages. 9.25x7.00x9.19 inches. In Stock.

Zustand: New. 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 t.

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Taschenbuch. Zustand: Neu. Neuware -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 gapsnot 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 modelThese projects aren't about building toolsthey'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 sciencewritten 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 therewith clarity, depth, and purpose.eucomply OÜ, Pärnu mnt 139b-14, 11317 Tallinn 280 pp. Englisch.

Taschenbuch. Zustand: Neu. Computer Science From Scratch | Building Interpreters, Art, Emulators and ML in Python | David Kopec | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Random House LLC US | EAN 9781718504301 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware - 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 gapsnot 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 modelThese projects aren't about building toolsthey'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 sciencewritten 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 therewith clarity, depth, and purpose.

Taschenbuch. Zustand: Neu. Neuware -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 gapsnot 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 modelThese projects aren't about building toolsthey'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 sciencewritten 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 therewith clarity, depth, and purpose. 280 pp. Englisch.