Computer Science From Scratch: Building Interpreters, Art, Emulators and ML in Python 303260

Код товару: 303260Паперова книга
  • ISBN
    978-1718504301
  • Бренд
  • Автор
  • Рік
    2025
  • Мова
    Англійська
  • Ілюстрації
    Чорно-білі
Test and sharpen your Python skills with seven guided projects that explore popular computer science challenges.

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

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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Характеристики

  • Бренд
  • Автор
  • Категорія
    Програмування
  • Рік
    2025
  • Сторінок
    272
  • Формат
    165х235 мм
  • Обкладинка
    М'яка
  • Тип паперу
    Офсетний
  • Мова
    Англійська
  • Ілюстрації
    Чорно-білі

Від видавця

Test and sharpen your Python skills with seven guided projects that explore popular computer science challenges.

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

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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