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.
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Allen Downey is a professor of computer science at Wellesley College in Massachusetts.
Jeffrey Elkner is a high school math and computer science teacher at Yorktown High School in Arlington, Virginia.
Chris Meyers is a professional programmer who teaches a beginning Python class at Lane Community College in Eugene, Oregon.
...There's ... emphasis on teaching computer science not just as a technical trade but as a mental discipline. -- Benjamin Crowell, in "The Assayer", book reviews and discussion for the free-information renaissance
The concepts covered here apply to all programming languages and to problem solving in general. -- Guido van Rossum, creator of Python
This book is not just a programming textbook--it is a contribution to the freedom of knowledge. -- Richard M. Stallman, founder of the Free Software Foundation
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