skills. That’s why this chapter is called “The way of the program.”

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How to think like a computer scientist

computer scientist

The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine 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. By that I mean 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.”

behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem-solving. By that I mean 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.”

Allen B. Downey

http://www.greenteapress.com/thinkcpp

Green Tea Press

2012

Baihaqi

Creative Commons

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English

Textbook

Think Python How to Think Like a Computer Scientist

Computer

Allen Downey

Green Tea Press

Cut Rita Zahara

Creative Commons

Textbooks

How to Think Like a Computer Scientist

Computer Scientist

"How to Think Like a Computer Scientist: Learning with Python" is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures. *** Published under the terms of the GNU Free Documentation License. Money raised from the sale of this book supports the development of free software and documentation.

Allen Downey

Jeﬀrey Elkner

Chris Meyers

Green Tea Press

Cut Rita Zahara

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