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decentralize environments (#79)
* decentralize environments * decentralize environments * Fix typo per comment Co-authored-by: Ravin Kumar <[email protected]>
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‎BCM/environment.yml

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- mkl-service
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- seaborn
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- statsmodels
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- pip
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- pip:
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- "git+git://github.com/pymc-devs/pymc3.git@master"

‎BDA3/environment.yml

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dependencies:
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- jupyter
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- seaborn
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- pip
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- pip:
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- "git+git://github.com/pymc-devs/pymc3.git@master"

‎BSM/README.md

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# Bayesian Statistical Methods Python and PyMC3
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In this repository we port [the book's original code](https://bayessm.wordpress.ncsu.edu) to Python and PyMC3. We attempt to reproduce the examples as faithfully as possible while expressing them in a _Pythonic_ and _PyMC3onic_ way.
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## Display notebooks
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[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/pymc-devs/resources/master?filepath=BSM)
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[<img src="http://nbviewer.jupyter.org/static/img/nav_logo.svg" width=120>](http://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/BSM)
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## Contributing
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All contributions are welcome!
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Feel free to send a PR to fix errors, improve the code, or make comments that could help users of this repository and readers of the book.
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## Installing the dependencies
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To install the dependencies to run these notebooks, you can use [Anaconda](https://www.continuum.io/downloads). Once you have installed Anaconda, run:
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conda env create -f environment.yml
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to install all the dependencies into an isolated environment.
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Activate the environment by running:
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source activate bsm-pymc3
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---
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<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /><span>Statistical Rethinking with Python and PyMC3</span> by <a xmlns:cc="http://creativecommons.org/ns#" href="https://github.com/aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3/graphs/contributors" property="cc:attributionName" rel="cc:attributionURL">All Contributors</a> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.

‎environment.yml renamed to ‎BSM/environment.yml

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name: pymc3_resources
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name: bsm-pymc3
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channels:
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- defaults
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dependencies:
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- jupyter
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- seaborn
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- statsmodels
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- mkl-service
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- pip
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- pip:
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- "git+git://github.com/arviz-devs/arviz.git@master"
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- "git+git://github.com/pymc-devs/pymc3.git@master"

‎README.md

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# PyMC3 Resources
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PyMC3 educational resources, including PyMC3 port of books (original models in STAN/BUGS/JAGS etc,.), PyMC3 talk slides, case studies, and other resources.
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PyMC3 educational resources, including the PyMC3 port of the following books (original models in STAN/BUGS/JAGS etc,.):
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- [PyMC3 port of the book "Statistical Rethinking" by Richard McElreath (first edition)](https://github.com/pymc-devs/resources/tree/master/Rethinking)
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- [PyMC3 port of the book "Statistical Rethinking" by Richard McElreath (second edition)](https://github.com/pymc-devs/resources/tree/master/Rethinking_2)

‎Rethinking/environment.yml

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- mkl-service
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- seaborn
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- statsmodels
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- pip
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- pip:
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- "git+git://github.com/arviz-devs/arviz.git@master"
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- "git+git://github.com/pymc-devs/pymc3.git@master"

‎Rethinking_2/README.md

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# Statistical Rethinking (second edition) with Python and PyMC3
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[Statistical Rethinking](http://xcelab.net/rm/statistical-rethinking/) is an incredible introductory book to Bayesian Statistics. It follows a [_Jaynesian_](https://en.wikipedia.org/wiki/Edwin_Thompson_Jaynes) and practical approach with very good examples and clear explanations.
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In this repository we port [the book's original code in R and Stan](https://github.com/rmcelreath/rethinking) to Python and PyMC3. We attempt to reproduce the examples as faithfully as possible while expressing them in a _Pythonic_ and _PyMC3onic_ way.
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## Display notebooks
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[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/pymc-devs/resources/master?filepath=Rethinking_2)
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[<img src="http://nbviewer.jupyter.org/static/img/nav_logo.svg" width=120>](http://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking_2)
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## Contributing
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All contributions are welcome!
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Feel free to send PR to fix errors, improve the code, or make comments that could help users of this repository and readers of the book.
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You can also join the discussion on [Gitter](https://gitter.im/Statistical-Rethinking-with-Python-and-PyMC3/Lobby).
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## Installing the dependencies
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To install the dependencies to run these notebooks, you can use [Anaconda](https://www.continuum.io/downloads). Once you have installed Anaconda, run:
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conda env create -f environment.yml
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to install all the dependencies into an isolated environment.
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Activate the environment by running:
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source activate stat-rethink2-pymc3
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---
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<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /><span>Statistical Rethinking with Python and PyMC3</span> by <a xmlns:cc="http://creativecommons.org/ns#" href="https://github.com/aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3/graphs/contributors" property="cc:attributionName" rel="cc:attributionURL">All Contributors</a> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.

‎Rethinking_2/environment.yml

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name: stat-rethink2-pymc3
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channels:
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- defaults
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dependencies:
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- jupyter
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- mkl-service
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- pip
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- pip:
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- watermark
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- "git+git://github.com/arviz-devs/arviz.git@master"
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- "git+git://github.com/pymc-devs/pymc3.git@master"

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