Editing Intro to Programming and Data Science (Spring 2020) (section)

== Readings ==

* Required text: '''[https://www.py4e.com/book Python for Everybody]''' by Charles R. Severance. The book is [https://creativecommons.org/licenses/by/3.0/us/ freely licensed] and available online for free. You can also buy the book if you prefer a hard copy.

I will list required chapters in the weekly notes below. In general, you should expect to spend far more time working on programming tasks than reading. Much like math or other technical courses, this course will build on itself every week. You should make every effort to cover the reading and exercise material every week in preparation for the next week.

* Other readings: Throughout the year we will read and discuss examples of computational social science that I find particularly well done or interesting. Many are available through the Purdue library. I will put the rest on Brightspace. If you come across additional examples that you think the class would benefit from, please suggest them to me.

* Optional readings: Matthew Salganik's book 'Bit by Bit: Social Research in the Digital Age' is a wonderful introduction to computational social science. We will not be discussing it in class but I highly recommend it.