Wentworth P., Elkner J., Downey A.B., Meyers C. How to Think Like a Computer Scientist: Learning with Python 3 Documentation

3rd. ed. - 2018. - 362 p.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.Copyright Notice.The way of the program.
Variables, expressions, and statements.
Program Flow.
Functions.
Datatypes.
Numpy.
File I/O.
App. A Writing Your Own Modules.
App. B More datatypes.
App. C Recursion.
App. D Object Oriented Programming.
App, E Exceptions.
App. F Fitting and Scientific Data Handling.
App. G PyGame.
App. H Plotting with matplotlib.