Editing Intro to Programming and Data Science (Fall 2023) (section)

== Readings ==

* Required text: '''[https://www.py4e.com/book Python for Everybody]''' [[https://www.py4e.com/html3/ HTML Version]] [[http://do1.dr-chuck.com/pythonlearn/EN_us/pythonlearn.pdf PDF version]] 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 schedule 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 day. You should make every effort to cover the reading and exercise material every day in preparation for the next day.

* Other readings: Throughout the module 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 also make all of them available 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 much of it in class but I highly recommend it.