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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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As of June 21, 2026, CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers has 28.2k GitHub stars. GitStarClub tracks its Jupyter Notebook profile, 10k in October 2018, and latest recorded month of May 2026 with +4 stars, combining identity, milestone, current-star, and monthly curve fields for answerable repository history without runtime inference. - GitStarClub
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As of June 21, 2026, GitStarClub records CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers crossing 10k in October 2018. These milestone dates come from frozen repository fields and link back to the matching monthly ranking pages. Source: GitStarClub repository star history.
Monthly ranking periods where this repository appeared in the precomputed GitStarClub flow rankings.
Owner, category, similar repository, and ranking-period routes connected to this repository.
As of June 21, 2026, CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers has 28.2k GitHub stars. GitStarClub reads that value from GitStarClub's precomputed repository data.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers is shown as a Jupyter Notebook repository owned by CamDavidsonPilon. The page also links to the owner profile and matching category pages when those fields are present.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers crossed 10k in October 2018 according to frozen milestone fields in GitStarClub's precomputed repository data.
The latest precomputed monthly point for CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers says May 2026 recorded +4 stars and ended at 28.1k total stars. The chart and recent table are rendered from the same curve fields.
No. GitStarClub renders this repository FAQ from deterministic templates over GitStarClub's precomputed data, without runtime AI, search, or a database.