T-Th 9:05 or 11:15 in Kimball B11
CS 1110: Introduction to Computing Using Python
Times & Places
Online Python Tutor
Authors of these pages: D. Gries, L. Lee, S. Marschner, & W. White, over the years
The main text for CS1110 is Think Python: How to Think Like a Computer Scientist, by Allen B. Downey. It is available as a traditional textbook from O'Reilly and is sold at the Campus Store. In addition it is available as a free PDF and eBook from Green Tree Press. We do not care which version you get, so long as you get one of them.
This text is not perfect, but given the newness of teaching Python at the university level, no Python text is. You will find that we jump about the text quite a bit. In addition, there will be a lot of material covered in class that is not in the book. The text is a supplement for lecture, but not a replacement.
This course will use iClickers in many lectures. In fact, everyone who registers in this course is expected to have an iClicker and to bring it to class every day. They are primarily intended learn how you think the lecture is going and see how well you understand what has been presented. They will be used often, and they will contribute to your participation grade. However, you will never be graded on whether the answers you submit by iClicker are "correct"; it is more of an attendance grade.
You can buy an iClicker at the Campus bookstore, and you should be able to use it in several of your courses over the years. If you have never used an iClicker before, then you will need to register it with Cornell. The following two URLs will help you with this process:
If you've registered online and we still don't seem to have associated your name with your iclicker, then you can send the instructor(s) an email containing your full name, your netid, and your clicker number, and we may be able to fix it manually.
Use of someone else's iclicker, either because you forgot yours or because they cannot be there and asked you to click theirs, is a violation of the Code of Academic Integrity.
Other Python texts
You may use any other text that you wish as a reference. Here is a sample of conventional texts:
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 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 device that they bring with them.
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.