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Igual que hice en este post, he querido hacer lo mismo con los jugadores EuroLeague y la diferencia on-off en plus-minus por 40 minutos inspirado en El Rincón del SuperManager y tambien por hacer algo ☺️. Mike James en lo más alto Datos EuroLeague

🐍🎧 Build Captivating Display Tables in Python With Great Tables Do you need help making data tables in Python look interesting and attractive? This week we speak with Richard Iannone and Michael Chow from Posit about the Great Tables Python library. realpython.com/podcasts/rpp/2…

⏰Counting the days for #positconf (Posit PBC ) next week where I'll be talking about some of my favorite python pkgs and workflows for #rstats natives (👀ing at you polars data The {gt}/great_tables Packages Quarto) 🙋‍♀️Who else will be there? Looking for early AM time change friends

Latest Leagues Cup 2024 Projections 📊⚽️ - Columbus Crew is the favorite with a 26% shot at glory! 🏆 - Toluca and UNAM Pumas are leading Liga MX with strong chances to advance deep. 🇲🇽 - Mazatlán FC has slim chances, but never say never in football! #LeaguesCup2024

Tables are about to get a whole lotta love in patchwork #rstats

Great Tables 0.12.0 is now on PyPI. Some new features: - integration of fonts from Google Fonts in your table (w/ google_font()) - row striping is now possible through either tab_options() or opt_row_striping() Check out the blog post at posit-dev.github.io/great-tables/b… for examples!

Great Tables 0.13.0 is out! Now you can fully, and precisely, style your table with `tab_style()` with the enhanced location (`loc`) targeting options. Check out the blog post at posit-dev.github.io/great-tables/b… explanations and examples!

Quick update: nixtla added conformal prediction intervals to {neuralforecast} two days ago 🔥 Now conformal intervals can be added to KAN or other engines. I limited to 20 epochs, added some spec, fit, predict wrappers, & messing with {patchwork} 1.3 for ggplot2 + gt

Free The {gt}/great_tables Packages workshop with the package maintainers Richard Iannone & Michael Chow ! Hands-on session about making #python tables! Friday Oct 25, 2024 3:00 - 05:00 PM ET events.zoom.us/ev/AvobJEOTVwk… Credentials via #Credly! #OpenSource #datascience #rstats

New version (v0.15.0) of Great Tables is out! Features: (1) add flag icons with fmt_flag() method, (2) add Font Awesome icons w/ fmt_icon(), and (3) use accounting notation. There's a new blog post that goes over some of the improvements to Great Tables posit-dev.github.io/great-tables/b…

#maps a table of geographic data file formats - raster and vector - for #geocomputation in #rstats Full code & examples: tinyurl.com/geo-file-forma… Created with The {gt}/great_tables Packages by Posit PBC

Hey! We've released Great Tables `v0.16.0` and it's got a cool new feature for applying conditional styling to rows on a per-column basis! The new `mask=` arg in `loc.body()` gives you that freedom to style a table based on a Polars DF. Blog post at: posit-dev.github.io/great-tables/b…

github.com/ninoseki/araka… v0.0.14 is out (Polars and The {gt}/great_tables Packages integrations have been added)

Great Tables is the #Python library for creating display-ready tables from #Polars DataFrames & more. In their 3-part video series, Michael Chow & Richard Iannone show how to add structure, formatting, & styling to go beyond the default. Explore the details: posit.co/blog/level-up-…

I discovered The {gt}/great_tables Packages via Talk Python to Me. Unlike pandas or Polars, which are for computation, gt is for restitution tables. You start with a DataFrame, then style and build your final table. My small example: top 10 countries at the last Olympics... 🤸‍♀️

Just discovered Pointblank from Posit PBC. Finally a data validation framework I can use with DuckDB! Working on a blog post.