"To help some of the newcomers make connections: name 5-7 things that interest you but aren't in your profile, as tags so they are searchable. Then boost this post or repeat its instructions so others know to do the same."
This is a small Python library to inspect and change the size of the threadpools used by libraries dynamically linked to a Python program (e.g. OpenBLAS, MKL, OpenMP runtimes...).
It is quite useful to debug oversubscription problems in the #SciPy / #PyData ecosystem.
This new version makes it possible to register a custom controller for your own native library. See the changelog for details:
Python Data Science at posit::conf(2023). We are excited about all our Python workshops are posit::conf this year.
posit::conf(2023) is our conference for all things open source data science. Join us in Chicago Sept 17-20. With two days of workshops, and two days of talks and community. Learn more at pos.it/conf.
Vega-Altair (Altair for short) is a statistical visualization library for Python built on top of the Vega-Lite declarative grammar.
This version introduces selection parameters and variable parameters, experimental support for the DataFrame Interchange Protocol (hence compatibility with Polars!), and much more.
You can install it with pip install "altair==5.0.0"
Anyone in the UK enthusiastic about dogs, #Rstats, #Python, #Pydata, and looking for a new job? There’s a Data Officer role going on my team if so! Interesting work and a nice bunch of people.
Is your analytics turned into reports shared with across your organization?
Learn how Quarto can help streamline, automate, & bedazzle your work.
Quarto is a open-source tool that helps you publish your data science work, beautifully, anywhere.
Sit back and listen to the dulcet tones of Christophe's soothing accent as he gives a 30-minute video deep-dive walking you through this end-to-end data science workflow.
Watch the video: https://youtu.be/Hl9TvhlzfV4?feature=shared
While data scientists are often taught about training a machine learning model, building a reliable MLOps strategy to deploy and maintain that model can be daunting.
It doesn’t have to be this way!
Join us with Julia Silge at Posit on Wednesday, April 24th at 11 am ET to learn how Posit Team provides fluent tooling for the whole ML lifecycle.
No registration is required to attend - simply add it to your calendar using this link, https://pos.it/team-demo
Check out Dr. Albert Rapp's latest YouTube video on mastering the great_tables Python package! From raw data to polished displays, learn about custom fonts, nanoplots, conditional formatting, and the steps to great a lovely looking data display table with great_tables. https://www.youtube.com/watch?v=ESyWcOFuMQc&ab_channel=AlbertRapp