This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers.
This book provides an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics. The book is an open textbook and is based on the open book titled, Python for Software Design: How to Think Like a Computer Scientist (Allen B. Downey).
| Pages : | 244 pages |
| Size : | HTML, PDF, ePub, etc. |
| Downloads: | 85 |
| Created: | 2020-08-30 |
| License: | Creative Common Attribution-NonCommercial-ShareAlike 3.0 Unported License |
| Author(s): | Charles Severance |
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