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Michael Chow
@chowthedog
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cog psych phd. statstronaut. stitch witch. (he / him) data science tools @RStudio. senior advisor @CodeForPhilly. previously: @DataCamp, @Princeton
Philadelphia, PA
Joined June 2011
The py shiny docs are incredible. You can run the examples in the browser ✨. It was a real joy working on them with the shiny team! #rstudioconf2022
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RT @realpython: 🐍🎧 Build Captivating Display Tables in Python With Great Tables Do you need help making data tables in Python look interes…
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RT @EmilyRiederer: If you know me, you probably know my fixation on column names and column selectors for data wrangling, docs, and validat…
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@DataPolars x @gt_package == match made in heaven!
[BLOG POST] Styling tables is super important. Thankfully, Polars makes styling tables easy! * ䷖ Polars selectors: choose columns for styling. * 🎯Polars expressions: zero in on specific rows to highlight. * 🎨 It’s easy to color cells based on data.
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RT @gt_package: [BLOG POST] First Great Tables blogpost on the project site! It shows you how to: •configure the structure of the table (+…
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RT @gt_package: {gt} has a 🐍-based cousin now, in the form of the Great Tables (v0.1.0) package. It’s a *great* new Python package that sim…
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@gshotwell I love how the code is shown for a whole app, with the less relevant bits greyed out!
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RT @arthurturrell: Sharing this because it's not getting nearly enough love: quartodoc, by @chowthedog Build quarto websites integrated w…
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@StevenHibble @mdancho84 Thanks for the mention! I think that doing things in the tidyverse is still way faster 😅😭
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@AllenDowney It seems like there is one group under an overbroad IP clause who will know the company owns it (eg regardless of when / how it was produced). But I suspect for most people it will come down to what they produced and choice of law.
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@ilarischeinin yanked means roughly, "delete, but let people install it if they explicitly specify that version"
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@vboykis I've found using duckdb to unpack json or read a csv/parquet and then dump to parquet surprisingly reasonable! (pandas does too much on read)
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@ilarischeinin Or if you don't want to set up dbcooper, you can `from dbcooper.tables import query_to_tbl`
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RT @dvaughan32: dplyr 1.1.0 is coming soon!! 🎉🎉 We are so excited to introduce you to the new features we've been working on, including: -…
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@RussellSPierce @DataPolars The backwards part imo is if we focus on translation, we will miss the weird things dplyr does, like supporting many models workflows, being much faster at *weird* actions:
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