M, F 2:30-3:20
in Olin 165

CS 1133: Short Course in Python

Fall 2017

Course Materials

Text (Optional)

Historically, the main text for CS1133 was Think Python: How to Think Like a Computer Scientist, Second Edition, by Allen B. Downey. While we still refer to this text, I have become less enamored with it over the years. It presents material in a fundamentally different order than we do in this course, and it is really only good as a supplementary reference.

Instead of requiring a textbook that you will never use, I recommend that you get the PDF or eBook, which is available free online.You can download it from Green Tree Press. If you absolutely need a paper copy, you can buy one from Amazon.


Other Python texts

You may use any other text that you wish as a reference. Here is a sample of conventional texts:

  • Campbell, Gries, Montojo, and Wilson, Practical Programming: An Introduction to Computer Science Using Python. The Pragmatic Bookshelf, 2009.

  • Zelle, Python Programming: An Introduction to Computer Science. Franklin, Beedle & Assoc., 2010.

  • Budd, Exploring Python. McGraw Hill, 2008.

USB Storage Devices

Unless you install Python on your own machine, a lot of your work will be in the CIT computing labs. You are not allowed to leave personal files on these machines, and the CIT typically deletes any personal file soon after you leave the station. Therefore, you need some place to save your work. Typically, students do this with a USB storage devices that they carry to the ACCEL Labs.

If you do not want to use a USB storage device, an alternative is to e-mail yourself your files at the end of lab. However, the advantage of a USB device is that it keeps your files nice and organized.

IMPORTANT: You should back up your work regularly to protect yourself in case something is lost. No one likes to have to redo everything the night before the due date.