13:29: Most of the talks I’m going to today are about Python 3.6. (Performance, new features, new magic methods, etc.)
Videos of the talks and tutorials are being uploaded to a YouTube channel.
08:39: Lightning talks.
17:33: I’m bushed. I planned on attending the lightning talks and then the conference dinner, but I feel my control rods auto-inserting and I know it’s best to pace myself.
Great talks on Python 3.6 performance and antiquated Python anti-patterns. A very good talk about conda. And a talk about pdb that started off at a beginner level (and so was disappointing; I had expected it to be at a different level) but then contained unexpected nuggets of useful information. I love serendipity!
Tonight I’m chilling and going to sleep early.
10:35: Jake VanderPlas described Jupyter’s usefulness for the scientific community far better than I did yesterday. Immersive IDE, iterative, experiments, sharing!
07:43: I hate swag bags. They’re an anachronism that needs to die. So wasteful. I know conferences must raise sponsorship money, but they’re going to die eventually and PyCon ought to be a leader here. My entire bag went into the recycling bin.
06:49: Up for the day and eager for it to start! Not sure how I’ll update this or even if I will. There will be something like eight talks, three addresses, who knows how many lightning talks, and maybe some unconference-ish meetings today. Perhaps I’ll just list notable topics and thoughts.
19:10: We went to Nicholas. Decent place. Had a nice lamb kabob.
13:20: Parallel data analysis.
Wow. An expansive survey of the SOTA in Python parallelizing technologies: Concurrent.futures, Spark, Dask, etc. This is what a good tutorial does — surveys a taxonomy and illuminates the tradeoffs and overlaps. It can beat reading N articles by Y authors who are trying to convey Z messages. For some topics I don’t need this but for others I do.
Some of these technologies/tools are directly applicable to the data munging we do at Coffee Meets Bagel to fix database issues and migrate data for new features. Lots of things clicked into place!
My head filled up after about two hours. So many great technologies available, a fertile ground for innovation. Lots of parallel fun.
17:00: This afternoon’s tutorial was an introduction to statistical modeling.
We started off badly when the instructor sent us the preparatory instructions about two hours before the start. It included downloading and installing Anaconda, which is a mother of a download and a mother of an install. The available time was actually less than two hours because it included our lunch “hour.” And our wi-fi has been unreliable and slow for most of the day.
Getting past that, this was a very good survey of statistical methods, and using pandas and pymc to do modeling. The instructor was one of the authors (I think the primary author) of pymc. Smart dude, lots of insightful asides.
The first hour was fine, the second hour I hung on, and in the beginning of the third hour my head exploded.
The missus called during a break and announced that our existing master bath toilet was leaking and a new one costing $$$ was being installed as we spoke. Glad I don’t have to deal with that.
Time for dinner.
On the train to Portland for PyCon. Excited!
I picked up this odd-looking miniature tennis racket. It had a button. I pressed the button and touched the odd-looking wires. That was how I learned about the office’s electric fly zapper.