Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: BayesianModelingandComputationInPython
- License: gpl-2.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://www.bayesiancomputationbook.com
- Size: 594 MB
Statistics
- Stars: 521
- Watchers: 21
- Forks: 140
- Open Issues: 44
- Releases: 0
Metadata Files
README.md
Bayesian Modeling and Computation in Python
Open access and Code
This repository contains the open-access version of the text and the code examples in the book. All of this can be more easily viewed at www.bayesiancomputationbook.com
Updated code
For the most up-to-date code please check the folder notebooks_updated. This code is updated to work with the latest versions of the libraries used in the book, which means that some of the code will be different from the one in the book.
See a mistake?
If you see any issues please create an issue on the issue tracker
Environment installation
To run the code you will need to install the correct packages in a computational environment. We have provided instructions below for common options.
Conda
conda env create -f environment.yml
conda activate bmcp
Colab
The book code can also be run using Google Colab. https://colab.research.google.com
More instructions to come soon
Citation
If you use the online or printed versions of this book in your own work, please cite us using
Martin Osvaldo A, Kumar Ravin; Lao Junpeng Bayesian Modeling and Computation in Python Boca Ratn, 2021. ISBN 978-0-367-89436-8
Here is the citation in BibTeX format
@book{BMCP2021,
title = {{Bayesian Modeling and Computation in Python}},
author = {Martin, Osvaldo A. and Kumar, Ravin and Lao, Junpeng},
year = {2021},
month = dec,
address = {{Boca Raton}},
isbn = {978-0-367-89436-8},
}
Donation
This book is only possible because of open source contributors working on the projects we used. If you like this book we encourage you to make a donation to ArviZ or PyMC.
Owner
- Name: Bayesian Modeling and Computation in Python
- Login: BayesianModelingandComputationInPython
- Kind: organization
- Repositories: 1
- Profile: https://github.com/BayesianModelingandComputationInPython
Code, references and all material to accompany the text
GitHub Events
Total
- Issues event: 1
- Watch event: 37
- Fork event: 11
Last Year
- Issues event: 1
- Watch event: 37
- Fork event: 11
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 65
- Total pull requests: 35
- Average time to close issues: 24 days
- Average time to close pull requests: 5 days
- Total issue authors: 40
- Total pull request authors: 6
- Average comments per issue: 1.4
- Average comments per pull request: 0.86
- Merged pull requests: 34
- Bot issues: 0
- Bot pull requests: 3
Past Year
- Issues: 14
- Pull requests: 6
- Average time to close issues: about 3 hours
- Average time to close pull requests: about 6 hours
- Issue authors: 13
- Pull request authors: 1
- Average comments per issue: 0.64
- Average comments per pull request: 2.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
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Pull Request Authors
- aloctavodia (22)
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- canyon289 (1)
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Dependencies
- pip 21.2.4.*
- python 3.9.6.*
- python-graphviz 0.17
- JamesIves/github-pages-deploy-action 3.7.1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite