Top all-time · #17113
Michael Chow
Personal blog · mchow.comdataprogramming
Michael Chow's personal blog at mchow.com covers data and programming. Since 2018, 4 different Hacker News readers have linked it 10 times, most often “What would it take to recreate dplyr in Python? (2020)”. It is still writing: the last post was on 2026-08-29, and you can follow it by feed.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
HN readers link Michael Chow's post on what it would take to recreate dplyr in Python. The only comment is a bare link to it, so there is no judgment of the writing.
Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Michael Chow's prod ready data thoughts (and other things).
Most-linked posts?
- What would it take to recreate dplyr in Python? (2020)3 people · 5 mentions · first linked 2020-02-11
What Hacker News says?
What it woul take to recreate dplyr in python: https://mchow.com/posts/2020-02-11-dplyr-in-python/
Comment linking /posts/2020-02-11-dplyr-in-python/
on “Statistical Rethinking (2022 Edition)”Submitted What would it take to recreate dplyr in Python? (2020) as a story · 64 points
HN discussionI just finished a lengthy analysis of why pandas groupby operations ends up harder to use than R's dplyr or data.table. For example, a grouped filter is very cumbersome in pandas. Interested to hear if you think it gets at the heart of the problem. https://mchow.com/posts/2020-02-11-dplyr-in-python/
Comment linking /posts/2020-02-11-dplyr-in-python/
on “Is a Dataframe Just a Table? (2019) [pdf]”Submitted What would it take to recreate R's tidyverse in Python? as a story · 4 points
HN discussionHey y'all, creator of siuba here--happy to answer any questions! One piece of context I try to bring into discussions is that the way I test and develop siuba is by livecoding data analyses for an hour [1]. I encounter a lot of arguments like "X is possible with pandas", but when I sit down with analysts in realistic settings (e.g. time constrained) it turns out X works in more limited ways then they thought [2][3].…
Comment linking /posts/2020-02-11-dplyr-in-python/
on “Siuba – A Dplyr Port to Python”Submitted Pandas has a hard job (and does it well) as a story · 3 points
HN discussionI used numpy a lot for my PhD research, and think you're right, in the sense that things could have been much more numpy array centric (just like how in R the dataframe is a tiny structure around arrays). There are a lot of problems you encounter when using arrays for data analysis, like some of their funky behavior with strings [0], but it seems like extending arrays, or building new types of numpy arrays would hav…
Comment linking /posts/pandas-has-a-hard-job/
on “What would it take to recreate dplyr in Python? (2020)”Submitted Single dispatch for democratizing data science tools as a story · 2 points
HN discussionSubmitted Teaching Data Science to High Schoolers as a story · 2 points
HN discussionSubmitted The Dashboard as a story · 1 points
HN discussion