How to Think Like a Computer Scientist: Learning with Python Allen B. Downey; Jeffrey Elkner and Chris Meyers

Allen B. Downey; Jeffrey Elkner; Chris Meyers

ISBN 10: 0971677506 / ISBN 13: 9780971677500

Edité par Green Tea Press, 2002

A propos de cet article

New.

N° de réf. du vendeur vikatL78931

Détails bibliographiques

• Titre: How to Think Like a Computer Scientist: Learning with Python Allen B. Downey; Jeffrey Elkner and Chris Meyers
• Éditeur: Green Tea Press
• Date de parution: 2002
• Langue: anglais
• ISBN à 10 chiffres: 0971677506
• ISBN à 13 chiffres: 9780971677500
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Présentation de l'éditeur

The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.
The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That’s why this chapter is called, The way of the program.
On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.