Description

Book Synopsis
A no-nonsense introduction to software design using the Python programming language. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept.

Trade Review
'I liked this book. The presentation is neat and clean, I might even say cheerful. And I learned a lot, not least of all where higher level languages are going, and the terminology used to express that … I liked the pace of presentation. I liked the constant stirring of topics: a new feature, a hint on debugging, a few words on programming style, some thoughts on programming principles, then on to the next new feature. It really is a nice mix.' Scientific Programming
'… explains concepts in clear, readable prose; contains helpful illustrations; and integrates activities to engage its readers.' Computing in Science and Engineering

Table of Contents
1. Preface; 2. The way of the program; 3. Variables, expressions and statements; 4. Functions; 5. Case study: interface design; 6. Conditionals and recursion; 7. Fruitful functions; 8. Iteration; 9. Strings; 10. Case study: word play; 11. Lists; 12. Dictionaries; 13. Tuples; 14. Case study: data structure selection; 15. Files; 16. Classes and objects; 17. Classes and functions; 18. Classes and methods; 19. Inheritance; 20. Case study: Tkinter; Appendix 1: debugging.

Python for Software Design How to Think Like a Computer Scientist

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£74.99

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Order before 4pm tomorrow for delivery by Fri 16 Jan 2026.

A Hardback by Allen B. Downey

15 in stock


    View other formats and editions of Python for Software Design How to Think Like a Computer Scientist by Allen B. Downey

    Publisher: Cambridge University Press
    Publication Date: 3/9/2009 12:00:00 AM
    ISBN13: 9780521898119, 978-0521898119
    ISBN10: 0521898110

    Description

    Book Synopsis
    A no-nonsense introduction to software design using the Python programming language. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept.

    Trade Review
    'I liked this book. The presentation is neat and clean, I might even say cheerful. And I learned a lot, not least of all where higher level languages are going, and the terminology used to express that … I liked the pace of presentation. I liked the constant stirring of topics: a new feature, a hint on debugging, a few words on programming style, some thoughts on programming principles, then on to the next new feature. It really is a nice mix.' Scientific Programming
    '… explains concepts in clear, readable prose; contains helpful illustrations; and integrates activities to engage its readers.' Computing in Science and Engineering

    Table of Contents
    1. Preface; 2. The way of the program; 3. Variables, expressions and statements; 4. Functions; 5. Case study: interface design; 6. Conditionals and recursion; 7. Fruitful functions; 8. Iteration; 9. Strings; 10. Case study: word play; 11. Lists; 12. Dictionaries; 13. Tuples; 14. Case study: data structure selection; 15. Files; 16. Classes and objects; 17. Classes and functions; 18. Classes and methods; 19. Inheritance; 20. Case study: Tkinter; Appendix 1: debugging.

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