Nick Featherstone
Applied Mathematics
ECOT 217 (main campus)
303-492-6974
feathern@colorado.edu
Daniel Trahan
Research Computing
ARC 677 (east campus)
303-735-2102
Daniel.Trahan@Colorado.edu
Tuesdays 9:30 am - 11:00 am (led by Nick)
Wednesdays 1:30 pm - 3:00 pm (led by Daniel)
Norlin E206
Newton Lab (ECCR 257; Applied Mathematics)
Zoom: https://cuboulder.zoom.us/j/4239862482
This workshop series will provide a brief overview of Python programming and some research-useful Python packages. This course will not cover “how to program;" attendees are expected to have introductory-level experience in at least one other programming language.
The lessons in this course are interactive in nature. In order to participate fully, you will need a laptop with a working Python installation and the following Python packages installed: NumPy, Matplotlib, H5Py.
The most straightforward way to install this software is via the Conda environment manager. Please refer to the SoftwareInstallation.md file in this repository for instructions on installing Conda, Python, and the necessary packages. If you need one-on-one help with the installation process, please drop by the optional installation session. Alternatively, feel free to send me an email, and we can set up a time to meet with either Daniel or myself.
| Date | Topic | Notes |
|---|---|---|
| Sep. 24 & 25 | Session 0: Installation Help | Optional Session |
| | Part 1: Python Essentials | |
| Oct. 1 & 2 | Overview, 'Hello World!,' variables and assignment | Wednesday section in Newton Lab |
| Oct. 8 & 9 | Conditionals, functions | Wednesday section in Newton Lab |
| Oct. 15 & 16 | Loops, lists, tuples, dictionaries | |
| Oct. 22 & 23 | Objects, methods, modules | |
| Oct. 29 & 30 | Package management via PiP and Conda | Tuesday section in Newton Lab |
| | Part 2: Useful Python Packages | |
| Nov. 5 & 6 | Efficient Python programming with NumPy | Wednesday section in Newton Lab |
| Nov. 12 & 13 | Plotting with Matplotlib | |
| Nov. 19 & 20 | H5Py | Tuesday section in Newton Lab |
| Nov. 26 & 27 | TBD |
How to Think Like a Computer Scientist (FREE online text)
Python Programming: An Introduction to Computer Science (textbook)