May 18, 5pm
summary
A rapid grab bag of concrete takeaways and demos from the lightning slot: crashing CPython via marshal + ctypes crash produces real segfaults from pure stdlib code, a project statically scans the top 2,000 packages and reports/fixes hundreds of bugs, NumPy 2 introduces variable‑width string dtype and ufuncs that are NumPy 2: 10–500x faster, a counting automaton yields 698,438,863,898,480,640 in 0.4ms, DuckDB is an in‑process columnar engine with parquet S3 and vector support, plus practical automation, mentorship, notebooks as CI‑runnable publications, and a C course to reveal internals.
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chapters (14)
- 0:00Start
- 1:15Peter Sobot - How Low(-level) Can You Go? Crashing Python with Only Its Standard Library
- 6:10Munawar Hafiz - Cleaning the Beach: Finding and Fixing Bugs in the Top 2,000 Python
- 11:50Melanie Arbor - They're not "Soft Skills"; They're Professional Skills (& you can do it!)
- 17:20Tyler Menezes - (Better) mentorship: How you can nurture the next generation of Pythonistas
- 22:55Lysandros Nikolaou - NumPy 2: 18 Years in the making
- 27:15Nathan Brouwer - Data storytelling: 5 hacks in 5 minutes
- 33:05Ludovico Bianchi - Notebooks as peer-reviewed conference publications: what, why, and how
- 38:40Dr. Charles Russell Severance - Why a Python Programmer Should Learn C (yes really)
- 44:55Dima Dinama - Surpass your Coworkers with Python Automation for Boring Office Jobs
- 49:45Nick Muoh - Jokes on you, 5 things you didn't know about DuckDB
- 55:10Joeun Joy Park - Bringing Back My Career with Python While Raising Kids
- 1:01:15Rodrigo Girad Serrad - Counting to 698,438,863,898,480,640 in 0.4ms”, and not [...] 4.ms
- 1:05:00Pawel Jastrzebski - My impressions after my first day at my first ever conference* (*A story
