{"id":13935109,"url":"https://github.com/avehtari/BDA_py_demos","last_synced_at":"2025-07-19T20:30:40.366Z","repository":{"id":28164256,"uuid":"31665154","full_name":"avehtari/BDA_py_demos","owner":"avehtari","description":"Bayesian Data Analysis demos for Python","archived":false,"fork":false,"pushed_at":"2023-09-11T14:25:43.000Z","size":12797,"stargazers_count":997,"open_issues_count":0,"forks_count":300,"subscribers_count":56,"default_branch":"master","last_synced_at":"2024-11-21T23:02:29.597Z","etag":null,"topics":["bayesian","bayesian-data-analysis","bayesian-inference","mcmc","python","stan"],"latest_commit_sha":null,"homepage":"https://avehtari.github.io/BDA_course_Aalto/demos.html#BDA_Python_demos","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/avehtari.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2015-03-04T15:50:19.000Z","updated_at":"2024-11-18T19:16:31.000Z","dependencies_parsed_at":"2023-10-20T18:08:47.545Z","dependency_job_id":null,"html_url":"https://github.com/avehtari/BDA_py_demos","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avehtari%2FBDA_py_demos","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avehtari%2FBDA_py_demos/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avehtari%2FBDA_py_demos/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avehtari%2FBDA_py_demos/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/avehtari","download_url":"https://codeload.github.com/avehtari/BDA_py_demos/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226666524,"owners_count":17665040,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bayesian","bayesian-data-analysis","bayesian-inference","mcmc","python","stan"],"created_at":"2024-08-07T23:01:24.121Z","updated_at":"2025-07-19T20:30:40.351Z","avatar_url":"https://github.com/avehtari.png","language":"Jupyter Notebook","readme":"# Bayesian Data Analysis Python Demos\n\n[![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/avehtari/bda_py_demos) to interactively run the IPython Notebooks in the browser.\n\nThis repository contains some Python demos for the book [Bayesian Data\nAnalysis, 3rd ed by Gelman, Carlin, Stern, Dunson, Vehtari, and Rubin (BDA3)](http://www.stat.columbia.edu/~gelman/book/). See also [Bayesian Data Analysis course material](https://github.com/avehtari/BDA_course_Aalto).\n\nCurrently there are demos for BDA3 Chapters 2, 3, 4, 5, 6, 10 and 11. Furthermore, [PyStan](https://github.com/stan-dev/pystan) is also demoed.\n\nDemos are in jupyter notebook (.ipynb) format. These can be directly previewed in github without need\nto install or run anything.\n\nCorresponding demos were originally written for [Matlab/Octave](https://github.com/avehtari/BDA_m_demos) by [Aki Vehtari](http://users.aalto.fi/~ave/) and translated to Python by Tuomas Sivula. Some improvements were contributed by Pellervo Ruponen and Lassi Meronen. There are also corresponding [R demos](https://github.com/avehtari/BDA_R_demos).\n\n\n## Requirements\n\n- python 3\n- ipython\n- numpy\n- scipy\n- matplotlib 2\n- pandas (for some demos)\n- pystan (for some demos)\n- ArviZ (for some demos)\n","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favehtari%2FBDA_py_demos","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Favehtari%2FBDA_py_demos","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favehtari%2FBDA_py_demos/lists"}