Stan Seibert

[Stan Seibert @seibert]

@KyleCranmer @wisecubeai Looks like the OSI trademarked logo with the “initiative” part cropped off: https://t.co/JDcEiqGBeZ

[BeeWare @PyBeeWare]

Would you like to be paid to work on BeeWare? Anaconda is now hiring for a full time, mid- to senior software engineer to join the Open Source group! https://t.co/35r9TqkquN

[Anaconda @anacondainc]

📢 Did you hear the news from PyCon!? We are thrilled to introduce PyScript, a framework that allows users to create rich Python applications IN THE BROWSER using a mix of Python with standard HTML! Head to https://t.co/n4OoeBD46z for more information. 🧠 💥

[Stan Seibert @seibert]

@poliastro_py @numba_jit My first though was “No, Val runs the Numba Twitter account now.” but then realized what you meant. 😀

[Talk Python Podcast @TalkPython]

We'll be live streaming two episodes today. First up in an hour is with guest @seibert and host @mkennedy. We'll be covering State of Data Science in 2021 and Apple Silicon for Python Devs and Data Scientists. Join us to be part of the show: https://t.co/pa0eaDGECq

[Anaconda @anacondainc]

“At Anaconda, we’re passionate about making #Python available to a variety of users for a wide range of use cases, and the Pyston project fits in perfectly with that mission.” -@KevinGoldsmith https://t.co/fFse2HLYhh

[Stan Seibert @seibert]

@jcristharif @mrocklin @CoiledHQ Sitting on my shelf with Pi 3Bs from the last time we upgraded it. 😀 I would suggest talking to the Turing Pi folks to see what the ETA is on their v2 hardware. https://t.co/ZM77boFfKB

[Datashader @datashader]

Announcing Datashader 0.11! https://t.co/0e4o3Lp0bz

Datashader does server-side rendering of even the largest datasets, and thanks to @jonmmease now includes @dask_dev rendering of rectilinear and curvilinear quadmeshes (e.g. for climate simulations). See https://t.co/7jQpk0bi5I

[Stan Seibert @seibert]

@fchollet Conway’s Law, but for biological simulations…

[David W Hogg @davidwhogg]

My mood these days

[Stan Seibert @seibert]

@phi_nate Converting a binned to an unbinned analysis in my dissertation gave me great respect for the histogram. Our dataset was microscopic compared to an LHC dataset, and something a single CPU handled easily before now required many GPUs and every algorithmic hack I could think of.

[Stan Seibert @seibert]

@phi_nate As a data structure, they are very convenient. Memory usage is independent of input data, they are trivial to construct in parallel and O(1) to evaluate. Histograms enabled HEP to do Big Data before Big Data was cool. 😀

[Stan Seibert @seibert]

@benmonreal I think duct tape was the standard technique at LANL, which made the low background folks very antsy.

[Stan Seibert @seibert]

@benmonreal @terrimyu @kocolosk Oh, and not a developer process, but for me, the one thing I was mostly ignorant of as a physicist that I wished I learned was SQL and relational database design. Fortunately got a 9 month boot camp in SQL in my first industry job, which has been hugely valuable years later.

[Stan Seibert @seibert]

@benmonreal @terrimyu @kocolosk I think those are the basics. Everything else is about automation or more nuanced implementation of these processes.