The videos from PyCon 2012 are posted. Here are the ones I plan to watch, along with their summaries:
ProofCheck is a set of Python scripts which parse and check mathematics written using TeX. Its homepage is www.proofcheck.org. Unlike computer proof assistants which require immersion in the equivalent of a programming language, ProofCheck attempts to handle mathematical language formalized according to the author's preferences as much as possible.
If writing is a means for organizing your thoughts, then sketching is a means for organizing your thoughts visually. Just as good writing requires drafts, good design requires sketches: low-investment, low-resolution braindumps. Learn how to use ugly sketching to iterate your way to a better product.
This tutorial is an introduction to Bayesian statistics using Python. My goal is to help participants understand the concepts and solve real problems. We will use material from my (nb: Allen Downey's) book, Think Stats: Probability and Statistics for Programmers (O’Reilly Media).
Relational databases are often the bread-and-butter of large-scale data storage, yet they are often poorly understood by Python programmers. Organizations even split programmers into SQL and front-end teams, each of which jealously guards its turf. These tutorials will take what you already know about Python programming, and advance into a new realm: SQL programming and database design.
Some of it may be above my head at this stage, but I think it's great that the Python community makes all of these resources available.