Tonight! #PyDataNYC meetup (Re-)Launch Party.

Very cool to see this group leading a return to in-person meetups in NYC; they’ve been well missed!

Okay, I have a decent number of followers here so I'd like to ask for your opinion.

This week I've been tooting heavily about #python and #pydata #PyDataNYC. But I'll also want to toot about #sustainability, #SolidarityEconomy, and random things in Spanish, sometimes #espol.

Aside from obvious content warnings, I'm thinking whether I should have different accounts for different purposes/broad themes, or keep everything under the same roof.

What do you think?

Noticias sobre #Python científico de la semana, episodio 55 🐍⚙️🗽 Especial #PyDataNYC

En resumen: Impresiones de la PyData NYC sobre pandas, Polars, e Ibis, GitHub Codespaces con JupyterLab y GPU, extensiones de pandas, mucho dinero para el ecosistema, y la magia de la comunidad https://astrojuanlu.substack.com/p/episodio-55 Apoya el noticiero suscribiéndote por correo 📫

#noticieropythoncientifico

#PyDataNYC is over, and it's been a blast 🔥

Thanks a lot to the organizers for making it happen, and to the speakers for delivering such high quality talks.

Will now relax a bit and explore Manhattan & Brooklyn under the rain before going back to Madrid tomorrow.

See you all at the next #PyData event!

RT @ncclementi
Dask tutorial starting at #PyDataNYC
@dask_dev

All this #PyDataNYC content in my feed is making me nostalgic. It wasn’t practical for me to come down this year (due to lack of planning on my part), but I think I’m going to have to arrange to be in New York for it next year.

675 attendees at #PyDataNYC, mind blowing!

"Time is the #1 determinant for participation" 🎯 good to have evidence to back this up, finally! #PyDataNYC

And finally, the irreplaceable @melissawm at #PyDataNYC: "Can we optimize communities?"

Delightful chat with @melissawm at #PyDataNYC, I wish it was longer! We touched on sustainability for open source, funding, diversity & inclusion, documentation, the tragedy of the commons, and more. Really happy to be here ❤️

"Pandas is used by nearly all Fortune 1000 companies" @loldja no shortage of use cases! #PyDataNYC

And now one talk I was looking forward to: "#pandas at a crossroads" by Jeff Reback at #PyDataNYC

Paraphrasing: "We'd better stay away from things Google controls as much as possible" #PyDataNYC

Paul Romer, 2018 Nobel Prize in Economics, is dropping some bombs at #PyDataNYC 🔥

Paraphrasing: "Once a culture is established, it's very difficult to change. I don't know if #Julia will ever escape from the 'faster than #Fortran' early misleading claims"

(He continued to say that Julia is fantastic despite being bothered by these overly enthusiastic remarks, to which I 100 % agree)

Slides from my keynote at #PyDataNYC

https://github.com/tacaswell/talk_2022-11_pydataNYC/blob/39f69347d8348acd0dbf74d854c0ed907bf67718/keynote.pdf

All of the source to generate is also in the repo (but it needs some custom lisp if you want to build it locally....)

And now let's hear about #simpy (not to be confused with #sympy) for discrete event simulation from Lara Kattan at #PyDataNYC

"Why do the #Python basics even matter if I'm a #pandas user?" I'm ready for another epic talk by James Powell at #PyDataNYC

Excellent presentation by Max Mergenthaler from Nixtla at #PyDataNYC on bridging classical and deep learning methods for #timeseries forecasting in #python thanks to #numba

Code: https://github.com/nixtla

@tacaswell "Scientists do not have time to be domain experts AND professional developers" 💯 #PyDataNYC​

Corollary: Data scientists do not have time to be domain experts AND data engineers.

Excellent keynote by @tacaswell from #matplotlib fame at #PyDataNYC - "From science to open source and back again". Lots of wisdom.