Past Academic Events

Our VP Academic Julian running this term’s Python Review session!

Past fall 2021 events:

LaTeX Review Session: If you missed this event, we will be running another Python workshop in Term 2!

Hey everyone!

Have you ever wondered what your math professors use to make those super nice-looking equations on your assignments and exams? Does any of your homework involve having to use LaTeX? Or perhaps you’re looking to format a fancy research paper?

Physsoc will be hosting a LaTeX Basics Workshop on Tuesday, November 2, from 5:30-7:30 in HENN 318. We’ll be going over the ins and outs of the LaTeX typesetting language, from how to set up your document, to text and math formatting, to more advanced usage like figures and citations. This is an interactive workshop with live demos and exercises. Admission is free for Physsoc members, and $5 for non-members (so you might as well become a member!). Hope to see you there!

Python Review Session: If you missed this event, we will be running another Python workshop in Term 2!

Hey prospective programmers!

Trying to get your head around programming basics? Do your classes assume way more programming knowledge than you have? Does Python seem like occult magic to you? Or maybe you already have some experience, but are looking to take your Python skills to the next level?

Physsoc will be running an Intro to Python Workshop on October 14 from 5:30-7:30 PM in HENN 318. It will be a 2-hour interactive crash course on everything you need to dive into scientific Python. Admission is free for Physsoc members, and $5 for non-members (so you might as well become a member!). We’ll be selling memberships at the door! And don’t worry about your skill level coming into this workshop; it’s accessible for people with ZERO Python experience, but also the challenge problems should be a good bit of fun even for Python veterans.

Workshop itinerary, for the detail-oriented:
1. Hello World
2. Basic Data
3. Lists and Dictionaries
4. Conditionals, Loops, and Comprehensions
5. Functions
6. NumPy
7. Matplotlib
8. SciPy
9. Challenge Problems!

If you would like to get a head start, make sure you have a Python 3 environment on your machine with numpy, scipy, and matplotlib installed.