Synopsis
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
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About the Author
David Kopec is an associate professor of computer science at Champlain 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.
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Computer Science from Scratch : Building Interpreters, Art, Emulators and Ml in Python
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Computer Science From Scratch (Paperback)
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Paperback. Condition: new. Paperback. You know how to write Python. Now master the computer science that makes it work.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. "Covers foundational computer science concepts through creative, hands-on projects. Each of the seven projects is presented as a code-centric tutorial that introduces topics such as interpreters, emulators, and machine learning. The projects showcase advanced Python language features and clean code principles while exploring interesting algorithms"--Provided by publisher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781718504301
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Paperback. Condition: New. 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. Seller Inventory # LU-9781718504301
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