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Think Python. How to Think Like a Computer Scientist. 2nd Edition (ebook)(audiobook)(audiobook)Książka w języku angielskim

Autor:
Allen B. Downey
Okładka książki/ebooka Think Python. How to Think Like a Computer Scientist. 2nd Edition

Okładka książki Think Python. How to Think Like a Computer Scientist. 2nd Edition

Okładka książki Think Python. How to Think Like a Computer Scientist. 2nd Edition

Okładka książki Think Python. How to Think Like a Computer Scientist. 2nd Edition

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
292
2w1 w pakiecie:
     ePub
     Mobi

Ebook

149,00 zł
126,65 zł

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Do przechowalni

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3.

Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser.

  • Start with the basics, including language syntax and semantics
  • Get a clear definition of each programming concept
  • Learn about values, variables, statements, functions, and data structures in a logical progression
  • Discover how to work with files and databases
  • Understand objects, methods, and object-oriented programming
  • Use debugging techniques to fix syntax, runtime, and semantic errors
  • Explore interface design, data structures, and GUI-based programs through case studies

O autorze

1 Allen B. Downey

Allen Downey jest profesorem informatyki na Olin College of Engineering. Wcześniej nauczał na Wellesley College, Colby College oraz U.C. Berkeley. Uzyskał tytuł doktora informatyki na U.C. Berkeley, a także tytuły magistra i licencjata na MIT.

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