Hoping it will be interesting to the Python-curious and beyond:
posit.co/conference/
Hoping it will be interesting to the Python-curious and beyond:
posit.co/conference/
We look at scraped GitHub data, untangle deeply nested JSON, and create some sort of pulse signal for various popular GitHub repos.
📽️ Watch the full episode here: lnkd.in/eKtuxAjg
We look at scraped GitHub data, untangle deeply nested JSON, and create some sort of pulse signal for various popular GitHub repos.
📽️ Watch the full episode here: lnkd.in/eKtuxAjg
www.linkedin.com/posts/jeroen...
posit.co/blog/three-m...
www.linkedin.com/posts/jeroen...
posit.co/blog/three-m...
When you use Polars `DataFrame.style` it returns a Great Tables object. This is a bit cheesy, but I look back on all the pieces the open source community chipped in to make this happen 🥲.
posit-dev.github.io/great-tables...
When you use Polars `DataFrame.style` it returns a Great Tables object. This is a bit cheesy, but I look back on all the pieces the open source community chipped in to make this happen 🥲.
posit-dev.github.io/great-tables...
It’s official: 𝙋𝙮𝙩𝙝𝙤𝙣 𝙋𝙤𝙡𝙖𝙧𝙨: 𝙏𝙝𝙚 𝘿𝙚𝙛𝙞𝙣𝙞𝙩𝙞𝙫𝙚 𝙂𝙪𝙞𝙙𝙚 is now available in both ebook and print formats at your favorite bookstore!
📚 Grab your copy now: polarsguide.com
It’s official: 𝙋𝙮𝙩𝙝𝙤𝙣 𝙋𝙤𝙡𝙖𝙧𝙨: 𝙏𝙝𝙚 𝘿𝙚𝙛𝙞𝙣𝙞𝙩𝙞𝙫𝙚 𝙂𝙪𝙞𝙙𝙚 is now available in both ebook and print formats at your favorite bookstore!
📚 Grab your copy now: polarsguide.com
Follow him here: @jeroenjanssens.com
Add today's call to your calendar here: pos.it/dsh
No slides, not a webinar, more like a weekly data AMA!
Follow him here: @jeroenjanssens.com
Add today's call to your calendar here: pos.it/dsh
No slides, not a webinar, more like a weekly data AMA!
Can't wait? Visit polarsguide.com, enter your name and email, and we'll send you an email with a link to the first chapter (courtesy of @oreilly.bsky.social).
Stay tuned for the full release! 📚
Can't wait? Visit polarsguide.com, enter your name and email, and we'll send you an email with a link to the first chapter (courtesy of @oreilly.bsky.social).
Stay tuned for the full release! 📚
Posit is the company behind some of the most popular and impactful tools for data science, including Shiny, Quarto, Positron, Tidyverse, Great Tables, and Plotnine.
Posit is the company behind some of the most popular and impactful tools for data science, including Shiny, Quarto, Positron, Tidyverse, Great Tables, and Plotnine.