Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More - Softcover

Über die Autorin bzw. den Autor

Thomas Mailund, PhD is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science, including experience programming and teaching in the C, Python and R programming languages. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.

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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
• Discover string and graph algorithms, and make them efficient
Write functions, inner functions, and recursions
• Use hidden Markov models
• Implement red-black search trees, stacks and queues, lexers and parsers, and much more