Introduction to computational thinking : problem solving, algorithms, data structures, and more
- New York : Apress, 2021
- xiii, 657 p. ; ill., 26 cm
Includes bibliographic references and index.
Learn approaches of computational thinking and the art of designing algorithms. Most of the algorithms you will see in this book are used in almost all software that runs on your computer. Learning how to program can be very rewarding. It is a special feeling to seeing a computer translate your thoughts into actions and see it solve your problems for you. To get to that point, however, you must learn to think about computations in a new way--you must learn computational thinking. This book begins by discussing models of the world and how to formalize problems. This leads onto a definition of computational thinking and putting computational thinking in a broader context. The practical coding in the book is carried out in Python; you'll get an introduction to Python programming, including how to set up your development environment. You will: Think in a computational way Acquire general techniques for problem solving See general and concrete algorithmic techniques Program solutions that are both computationally efficient and maintainable.
9781484270769
Algorithms Computer programming Python Computer program language Coding theory Computer science Arithmetic Operations Appendmethod Binary heaps Compare function Dynamic programming Indicator function Hash function Hidden Markov models(HMMs) Indicator function Keyword arguments Magical methods Meta-classes Nested functions Object-oriented programming Strings Text analtytics Markov models Sequences Priority queues