Python For Informatics
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Python for Informatics
Python for Informatics (Korean edition) is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data 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 Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software. This book is licensed Creative Commons Attribution Share-Alike license. There are free downloadable electronic copies of this book in various formats available at www.pythonlearn.com. There are also supporting materials for the book at www.pythonlearn.com.There is a self-paced Open Online Course available at online.dr-chuck.com that includes a complete set of video lectures and automatically graded assignments. The course materials are available for you to adapt to teach your own course.
Python for Informatics
Author: Charles Severance
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2013
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. There are free downloadable copies of this book in various electronic formats and a self-paced free online course where you can explore the course materials. All the supporting materials for the book are available under open and remixable licenses at the www.py4inf.com web site. This book is designed to teach people to program even if they have no prior experience. This book covers Python 2. An updated version of this book that covers Python 3 is available and is titled, "Python for Everybody: Exploring Data in Python 3".