Introduction to Computational Thinking
Introduction to Computational Thinking
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Introduction to Computational Thinking

This book is 25% complete

Last updated on 2018-06-25

About the Book

Using computers as more than glorified typewriters or calculators is an increasingly important aspect of any scientific or technological field, and knowing how to program a computer to solve new problems is becoming as essential a skill as mathematics. Learning how to program can be a frustrating experience at times since computers require a level of preciseness and rigour in how we must express that we never encounter elsewhere in life. On the other hand, learning how to program can also 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.

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About the Author

Thomas Mailund
Thomas Mailund

I am an associate professor in bioinformatics at Aarhus University, Denmark. My background in math and computer science but for the last decade my main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.

Table of Contents

  1. Introduction
  2. Introducing Python programming
  3. Introduction to algorithms
  4. Algorithmic efficiency
  5. Searching and sorting
  6. Functions
  7. Recursion and divide-and-conquer
  8. A return to sorting
  9. Tables
  10. Dynamic programming
  11. Abstract data structures, classes and objects
  12. Sets, sequences and maps
  13. Lists, trees and graphs
  14. Python's built-in data structures
  15. Dicts and hash-tables
  16. Trees and graphs
  17. Communicating with the world: I/O
  18. Profiling and optimising programs
  19. Structuring software
  20. Conclusions
  21. Solutions to exercises

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