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D�tails bibliographiques

Titre: Practical Programming: An Introduction to Computer Science Using Python (Pragmatic Programmers)
�diteur: Pragmatic Bookshelf
Date de parution: 2009
Langue: anglais
ISBN � 10 chiffres: 1934356271
ISBN � 13 chiffres: 9781934356272
Reliure: Couverture souple
�tat de l'article: Very Good

A propos de ce titre

Synopsis

Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer. Topics covered include: basic elements of programming from arithmetic to loops and if statements; using functions and modules to organize programs; using lists, sets, and dictionaries to organize data; designing algorithms systematically; debugging things when they go wrong; creating and querying databases; building graphical interfaces to make programs easier to use; and, object-oriented programming and programming patterns.

� propos de l?auteur

Jennifer Campbell is a senior lecturer in Computer Science at the University of Toronto who created the course this book is based on.Paul Gries, is a senior lecturer in Computer Science at the University of Toronto. He has won numerous teaching awards and authored other introductory computer science texts.Jason Montojo, is a former student of Jennifer Campbell and Paul Gries, who has since worked on the Eclipse programming platform at IBM; he is also a professional photographer and digital artist, and created all of the diagrams for this book.Greg Wilson holds a Ph.D. in Computer Science from the University of Edinburgh, and has worked on high-performance scientific computing, data visualization, and computer security. He is the author of Data Crunching and Practical Parallel Programming (MIT Press, 1995), and is a contributing editor at Doctor Dobb's Journal, and an adjunct professor in Computer Science at the University of Toronto.

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