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AllenDowney
ThinkStats
Jupyter Notebook2025–2026
AllenDowney / ThinkStats

ThinkStats

Notebooks for the third edition of Think Stats

2Distinct people
2Mentions
0Explicit recommenders
1.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Notebooks for the third edition of Think Stats

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

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Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month2 dated mentions

Observed mentions: 2025-04-09 09:43:59 UTC to 2026-05-10 16:25:22 UTC.

012025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 20252025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 20252025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC101
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC000
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC101

What Hacker News says

2 sources
I took AP Stat in HS and then College Stats in college unnecessarily. In HS it was TI-83 calculators, and in college it was excel with optional minitab. R was new then I remember ANOVA being the pinnacle of AP Stat. There are newer ANOVA-like statistical procedures like CANOVA; "Efficient test for nonlinear dependence of two continuous variables" (2015) https://pmc.ncbi.nlm.nih.gov/articles/PMC4539721/ Estimators: Yellowbrick implements the scikit-learn Estimator API: https://www.scikit-yb.org/en/latest/ "Developing scikit-learn estimators" https://scikit-learn.org/stable/developers/develop.html#esti... : > All estimators implement the fit method: estimator.fit(X, y) > Out of all the methods that an estimator implements, fit is usually the one you want to implement yourself. Other methods such as set_params, get_params, etc. are imple
Read the rest
mented in BaseEstimator, which you should inherit from. You might need to inherit from more mixins, which we will explain later. https://scikit-learn.org/stable/modules/generated/sklearn.pi... Sklearn Glossary > estimator: https://scikit-learn.org/stable/glossary.html#term-estimator https://news.ycombinator.com/item?id=41311052 https://news.ycombinator.com/item?id=28523442 What is GridSearchCV and what are ways to find optimal faster than brute force grid search? IRL case studies with applied stats and ML and AI: - "ML and LLM system design: 500 case studies to learn from" https://news.ycombinator.com/item?id=43629360 Additional stats resources: - "Seeing Theory" Brown https://seeing-theory.brown.edu/ - "AP®/College Statistics" Khan Academy https://www.khanacademy.org/math/ap-statistics - "Think Stats: 3rd Edition" notebooks https://github.com/AllenDowney/ThinkStats/tree/v3 And physics and information theory in relation to stats as a field with many applications: - "Information Theory: A Tutorial Introduction" (2019) https://arxiv.org/abs/1802.05968 .. https://g.co/kgs/sPha7qR - Entropy > Statistical mechanics: https://en.wikipedia.org/wiki/Entropy#Statistical_mechanics - Statistical mechanics: https://en.wikipedia.org/wiki/Statistical_mechanics - Quantum Statistical mechanics: https://en.wikipedia.org/wiki/Quantum_statistical_mechanics Statistical procedures are inferential procedures. There are inductive, deductive, and abductive methods of inference. Statistical inference: https://en.wikipedia.org/wiki/Statistical_inference Statistical literacy: https://en.wikipedia.org/wiki/Statistical_literacy Also, the ROC curve Wikipedia sidebar: https://en.wikipedia.org/wiki/Receiver_operating_characteris... What is the difference between accuracy, precision, specificity, and sensitivity? Khan Academy has curriculum alignment codes on their OER content, but not yet Schema.org/about and or :educationalAlignment for their https://schema.org/LearningResource (s)
In Fixing the Introductory Statistics Curriculum

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