Michael Chow Profile
Michael Chow

@chowthedog

Followers
1K
Following
3K
Media
225
Statuses
1K

cog psych phd. statstronaut. stitch witch. (he / him) data science tools @RStudio. senior advisor @CodeForPhilly. previously: @DataCamp, @Princeton

Philadelphia, PA
Joined June 2011
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@chowthedog
Michael Chow
3 years
The py shiny docs are incredible. You can run the examples in the browser ๏ฟฝ๏ฟฝ๏ฟฝ. It was a real joy working on them with the shiny team! #rstudioconf2022 https://t.co/tnjbFggqHE
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@realpython
Real Python
1 year
๐Ÿ๐ŸŽง 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 @riannone and @chowthedog from Posit about the Great Tables Python library. https://t.co/sNVLjrwcuf
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@EmilyRiederer
Emily Riederer
2 years
If you know me, you probably know my fixation on column names and column selectors for data wrangling, docs, and validation I had NOT thought about selectors for styling. Awesome blog post on the deep integration of these features in @gt_package and @DataPolars
@gt_package
The {gt}/great_tables Packages
2 years
[BLOG POST] Styling tables is super important. Thankfully, Polars makes styling tables easy! * ไท– Polars selectors: choose columns for styling. * ๐ŸŽฏPolars expressions: zero in on specific rows to highlight. * ๐ŸŽจ Itโ€™s easy to color cells based on data. https://t.co/qLR2BSCUDn
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@gt_package
The {gt}/great_tables Packages
2 years
[BLOG POST] First Great Tables blogpost on the project site! It shows you how to: โ€ขconfigure the structure of the table (+ add source notes) โ€ขformat table-cell values โ€ขadd styling to targeted table cells (w/ Polars niceties) Check it out at:
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@gt_package
The {gt}/great_tables Packages
2 years
{gt} has a ๐Ÿ-based cousin now, in the form of the Great Tables (v0.1.0) package. Itโ€™s a *great* new Python package that simplifies the process of making tabular data presentable for any sort of publication task. Check out the docs site at https://t.co/IOTXWsSUWk and talk to us!!
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@arthurturrell
Arthur Turrell
2 years
Sharing this because it's not getting nearly enough love: quartodoc, by @chowthedog Build quarto websites integrated with Sphinx autodoc. This means hosting documentation that is beautiful & consistent with code just got a lot easier #datascience https://t.co/dh5MAbh6Vf
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github.com
Generate API documentation with quarto. Contribute to machow/quartodoc development by creating an account on GitHub.
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@chowthedog
Michael Chow
3 years
I love that R is so extensible, that people can see the tidyverse and ask, but is it *R*?
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@dvaughan32
Davis Vaughan
3 years
dplyr 1.1.0 is coming soon!! ๐ŸŽ‰๐ŸŽ‰ We are so excited to introduce you to the new features we've been working on, including: - Temporary inline grouping with `.by` - Non-equi joins - Faster `arrange()` And SO much more! #rstats https://t.co/xk52IsibeQ
tidyverse.org
dplyr 1.1.0 is coming soon! This post introduces some of the exciting new features coming in 1.1.0, and includes a call-for-feedback as we finalize the release.
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@chowthedog
Michael Chow
3 years
Hello! I maintain a port of dplyr to python called siuba. If you'll be at #PyDataNYC and are interested, would love to chat! https://t.co/7Z43khifsM
@posit_glimpse
posit::glimpse()
3 years
We're going to #PyDataNYC! Stop by the Posit (formerly #RStudio) booth to talk with @jcheng @winston_chang @isabelizimm @chendaniely @chowthedog, learn more about Shiny for Python, vetiver, siuba & Quarto, and share your feedback. We're so excited to meet you there!โค๏ธ
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@rctatman
Rachael Tatman @[email protected]
3 years
Hello friends! For my livestream tomorrow I'm going to be trying out @chowthedog's Siuba package for the first time. Come join us! :) https://t.co/HkrTxQlRQe
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@chowthedog
Michael Chow
3 years
When I generate SQL from 5 lines of dplyr:
@__mharrison__
Matt Harrison
3 years
You think my Pandas code is bad, here is some SQL that I wrote 15 years ago...
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@Technical_ly
Technical.ly
3 years
Into open data and social justice? This October hackathon featuring the likes of @CodeForPhilly @RLadiesPhilly @CLSphila @DrexelUniv might be for you https://t.co/p26h19MhcL
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@DataPolars
polars data
3 years
Next release of polars will ship with automatic subplan elimination. Complicated self-referencing plans will likely run much faster if your threads were contending. LazyFrame.cache() is an operation a user can start to forget.
@RitchieVink
Ritchie Vink
3 years
A week's caving, but now @DataPolars can determine which subgraphs in a computation are duplicates and automatically cache them. And it does not interfere with projection pushdown optimizations! This can save a lot of duplicated work! 1/2
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@kylebarron2
Kyle Barron kylebarron.dev on bsky
3 years
Imagine a geospatial DataFrame library that's - written in Rust - binding to Python and WebAssembly - multithreaded - built on GeoArrow With @Stuart_Lynn I've been working on a *prototype* of achieving this by extending @DataPolars for geospatial support https://t.co/WYJww55DtJ
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github.com
Geospatial extensions for Polars. Contribute to pola-rs/geopolars development by creating an account on GitHub.
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@PipingHotData
Shannon Pileggi... @[email protected]
3 years
๐Ÿ‘‹Hi! I am a real live person on the #rstats #RLadies global teams who helps keep the @WeAreRLadies curator account active ๐Ÿ˜Ž I love hearing & learning from #RLadies all over the world ๐ŸŒŽ๐Ÿ’œ๐ŸŒ๐Ÿ’œ๐ŸŒ If you do too, please sign up โœ๏ธ or nominate someone whose work you admire ๐Ÿ˜!
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@hadleywickham
Hadley Wickham
3 years
If you're like to see my rstudio::conf() talk about R7, its now online: https://t.co/SDhvIWKomN. R7 is a new OO system that takes the best parts from S3 and S4. It's designed by folks from R Core, BioC, ROpenSci, RStudio, and more #rstats
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posit.co
@posit_pbc
Posit PBC
3 years
๐Ÿ“ข Announcing keynote and talk recordings from rstudio::conf(2022)! โฌก Keynotes: https://t.co/4cvPNAokhn โฌก Talks: https://t.co/HTLwKREkEF Keep an eye out for a blog post that summarizes conf materials ๐Ÿ‘€
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@DataPolars
polars data
3 years
We ran the first 7 TPCH queries on scale factor 10 to compare different #python dataframe solutions on a single machine. This shows that scaling #pandas doesn't always make it faster. See that small purple bar? That's how much faster polars is!
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@thomas_mock
๐Ÿฆ‹ Tom Mock
3 years
The @R4DScommunity welcomes you to week 32 of #TidyTuesday! We're exploring Ferris Wheels courtesy of @Emil_Hvitfeldt!! ๐Ÿ“ https://t.co/sElb4fcv3u ๐Ÿ—ž https://t.co/x45jPKCF7u #r4ds #tidyverse #rstats #dataviz
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@chowthedog
Michael Chow
3 years
mood (c/o of my partner ๐Ÿ˜)
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