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Python Data Science Handbook

jakevdp.github.io Books & learning Books & long-form works AI & data Class of 2025-12 Hall of Fame
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Resurfaced independently across 5 calendar years, with breakout response in 2 of them.

submissions
6
submitters
6
observed span
2017–2025
peak thread · 61 comments
455 pts
latest 20+ return · 2025-12-02
312 pts

Submission timeline

2007–2026

One slot for every year since HN launched. Height is that year's peak points; orange marks a 100+ point or 50+ comment breakout. Select a bar to open its strongest thread.

First comments on top threads

HN comment order

We're using this book for a "book club" at work. Doing 1 chapter every 2 weeks. Chapter 1 covers Jupyter, 2 covers numpy, 3 pandas, 4 matplotlib, and 5 machine learning. We just made it through the first 4 chapters and it lays a good foundation for those libraries. I suspect chapter 5 is the meatiest and most interesting chapter, which covers scikit-learn and machine learning techniques. It is a long chapter so we will spend a month on it…

I loved his Statistics for Hackers talk: https://speakerdeck.com/pycon2016/jake-vanderplas-statistics...

The first top-level comment from each of the four biggest threads, in HN’s own order. Excerpts are shortened; open a comment for full context.

Breakout years
2

100+ points or 50+ comments

Total points
779

reference only — not used in Hall rules or ranking

Total comments
88

reference only — not used in Hall rules or ranking

Every submission

DateTitle as submittedByPointsComments
2017-08-20Python Data Science Handbookktr40
2017-08-29Python Data Science HandbookFirst breakout · Best threadtype045527
2020-11-01Python Data Science Handbookkrthr30
2022-05-08Python Data Science Handbook (Free O'Reilly Book)RafelMri20
2024-05-19Python Data Science Handbookibobev30
2025-12-02Python Data Science HandbookHall induction · Latest 20+ point returncl3misch31261