Top all-time · #19578
Steven Morse
Personal blog · stmorse.github.io/journaldataprogramming
Steven Morse writes About, a personal blog at stmorse.github.io about data and programming. Since 2019, 4 different Hacker News readers have linked it 4 times. No feed was found, so read it on the site itself.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
HN readers link Steven Morse's posts on R and Python data work, such as a post on tidyverse-style data manipulation in pandas. One commenter pointed R users who dislike pandas to it.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Most-linked posts?
- /journal/tidyverse-style-pandas.html3 people · 3 mentions · first linked 2019-04-24
What Hacker News says?
I have used pandas extensively, it was my main statistics environment for a couple years before I switched back to R for tidyverse. At the time chaining was not well supported or idiomatic; multi-indexing was all the rage. I still occasionally use pandas with seaborn when it's not worth it to switch out to R. I don't think it can match the tidyverse+ggplot combo for quickly exploring and making beautiful plots. But…
Comment linking /journal/tidyverse-style-pandas.html
on “A book to learn R and Python in parallel for Data Science”Submitted ELO Rating as a Logistic Regression as a story · 1 points
HN discussionFor those R users who aren't quite enjoying Pandas so much, I enjoyed the following blog post: https://stmorse.github.io/journal/tidyverse-style-pandas.htm...
Comment linking /journal/tidyverse-style-pandas.html
on “An opinionated view of the Tidyverse “dialect” of the R language”My favorite example of this is Hadley Wickham's work on tidy data [1, 2]. Before Hadley, tools for streamlining data manipulation workflows had largely fallen stagnant. Even the best languages and tools were a chore to use. But traditional academic statisticians and computer scientists had a blind spot for this. They didn't consider it a hard problem, which is what academics are supposed to work on, and therefore di…
Comment linking /journal/tidyverse-style-pandas.html
on “You don't need to work on hard problems”