https://github.com/nagasaki45/dbdapy

Following "Doing Bayesian Data Analysis", in python
https://github.com/nagasaki45/dbdapy

bayesian-data-analysis data-science pymc3

Last synced: 8 months ago
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Following "Doing Bayesian Data Analysis", in python

• Host: GitHub
• URL: https://github.com/nagasaki45/dbdapy
• Owner: Nagasaki45
• License: mit
• Created: 2015-01-14T20:03:25.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2020-11-11T18:28:10.000Z (over 5 years ago)
• Last Synced: 2024-04-16T02:13:00.962Z (almost 2 years ago)
• Topics: bayesian-data-analysis, data-science, pymc3
• Language: Jupyter Notebook
• Homepage:
• Size: 9.71 MB
• Stars: 8
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Following "Doing Bayesian Data Analysis", in python

Python solutions to the exercises of Doing Bayesian Data Analysis, 2nd Edition, by J. L. Kruschke.

## Why?

- This is not a translation of R code to python (as the other resources mentioned below). I try to keep the code pythonic, and use the best available tools.

- It's all in ipython notebook format, with figures and stuff, for better learning experience.

- [My thoughts about the code provided with the book](http://blog.tomgurion.me/writing-a-programming-book-dont-compose-an-utility-library.html).

## More resources

- [erikson84's BayesDataAnalysisWithPyMC](https://github.com/erikson84/BayesDataAnalysisWithPyMC)

- [aloctavodia's Doing_bayesian_data_analysis](https://github.com/aloctavodia/Doing_bayesian_data_analysis)