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| .. image:: https://cdn.rawgit.com/pymc-devs/pymc3/master/docs/logos/svg/PyMC3_banner.svg | ||
| :height: 100px | ||
| :alt: PyMC3 logo | ||
| :align: center | ||
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| PyMC3 Examples | ||
| ============== | ||
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| Supporting examples and tutorials for PyMC3, the Python package for Bayesian statistical modeling and Probabilistic Machine Learning! | ||
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| Check out the `getting started guide <http://docs.pymc.io/notebooks/getting_started>`__, or | ||
| `interact with live examples <https://mybinder.org/v2/gh/pymc-devs/pymc3/master?filepath=%2Fdocs%2Fsource%2Fnotebooks>`__ | ||
| using Binder! | ||
| For questions on PyMC3, head on over to our `PyMC Discourse <https://discourse.pymc.io/>`__ forum. | ||
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| Getting started | ||
| =============== | ||
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| If you already know about Bayesian statistics: | ||
| ---------------------------------------------- | ||
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| - `API quickstart guide <http://docs.pymc.io/notebooks/api_quickstart>`__ | ||
| - The `PyMC3 tutorial <http://docs.pymc.io/notebooks/getting_started>`__ | ||
| - `PyMC3 examples <https://docs.pymc.io/nb_examples/index.html>`__ and the `API reference <http://docs.pymc.io/api>`__ | ||
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| Learn Bayesian statistics with a book together with PyMC3: | ||
| ---------------------------------------------------------- | ||
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| - `Probabilistic Programming and Bayesian Methods for Hackers <https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers>`__: Fantastic book with many applied code examples. | ||
| - `PyMC3 port of the book "Doing Bayesian Data Analysis" by John Kruschke <https://github.com/aloctavodia/Doing_bayesian_data_analysis>`__ as well as the `second edition <https://github.com/JWarmenhoven/DBDA-python>`__: Principled introduction to Bayesian data analysis. | ||
| - `PyMC3 port of the book "Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath <https://github.com/pymc-devs/resources/tree/master/Rethinking>`__ | ||
| - `PyMC3 port of the book "Bayesian Cognitive Modeling" by Michael Lee and EJ Wagenmakers <https://github.com/pymc-devs/resources/tree/master/BCM>`__: Focused on using Bayesian statistics in cognitive modeling. | ||
| - `Bayesian Analysis with Python <https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition>`__ (second edition) by Osvaldo Martin: Great introductory book. (`code <https://github.com/aloctavodia/BAP>`__ and errata). | ||
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| PyMC3 talks | ||
| ----------- | ||
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| There are also several talks on PyMC3 which are gathered in this `YouTube playlist <https://www.youtube.com/playlist?list=PL1Ma_1DBbE82OVW8Fz_6Ts1oOeyOAiovy>`__ | ||
| and as part of `PyMCon 2020 <https://discourse.pymc.io/c/pymcon/2020talks/15>`__ | ||
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| Installation | ||
| ------------ | ||
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| To install PyMC3 on your system, see its `installation section here <https://github.com/pymc-devs/pymc3#installation>`__ | ||
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| Citing PyMC3 | ||
| ============ | ||
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| Salvatier J., Wiecki T.V., Fonnesbeck C. (2016) Probabilistic programming | ||
| in Python using PyMC3. PeerJ Computer Science 2:e55 | ||
| `DOI: 10.7717/peerj-cs.55 <https://doi.org/10.7717/peerj-cs.55>`__. | ||
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| Papers citing PyMC3 | ||
| ------------------- | ||
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| See `Google Scholar <https://scholar.google.de/scholar?oi=bibs&hl=en&authuser=1&cites=6936955228135731011>`__ for a continuously updated list. | ||
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| Contributors | ||
| ============ | ||
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| See the `GitHub contributor | ||
| page <https://github.com/pymc-devs/pymc3/graphs/contributors>`__. Also read our `Code of Conduct <https://github.com/pymc-devs/pymc3/blob/master/CODE_OF_CONDUCT.md>`__ guidelines for a better contributing experience. | ||
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| Contact | ||
| ======= | ||
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| We are using `discourse.pymc.io <https://discourse.pymc.io/>`__ as our main communication channel. You can also follow us on `Twitter @pymc_devs <https://twitter.com/pymc_devs>`__ for updates and other announcements. | ||
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| To ask a question regarding modeling or usage of PyMC3 we encourage posting to our Discourse forum under the `“Questions” Category <https://discourse.pymc.io/c/questions>`__. You can also suggest feature in the `“Development” Category <https://discourse.pymc.io/c/development>`__. | ||
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| To report an issue with PyMC3 please use the `issue tracker <https://github.com/pymc-devs/pymc3/issues>`__. | ||
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| Finally, if you need to get in touch for non-technical information about the project, `send us an e-mail <[email protected]>`__. | ||
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| Support | ||
| ======= | ||
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| PyMC3 is a non-profit project under NumFOCUS umbrella. If you want to support PyMC3 financially, you can donate `here <https://numfocus.salsalabs.org/donate-to-pymc3/index.html>`__. | ||
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| PyMC for enterprise | ||
| =================== | ||
| `PyMC is now available as part of the Tidelift Subscription!` | ||
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| Tidelift is working with PyMC and the maintainers of thousands of other open source | ||
| projects to deliver commercial support and maintenance for the open source dependencies | ||
| you use to build your applications. Save time, reduce risk, and improve code health, | ||
| while contributing financially to PyMC -- making it even more robust, reliable and, | ||
| let's face it, amazing! | ||
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| |tidelift_learn| |tidelift_demo| | ||
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| Sponsors | ||
| ======== | ||
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| |NumFOCUS| | ||
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| |Quantopian| | ||
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| |ODSC| | ||
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| .. |Binder| image:: https://mybinder.org/badge_logo.svg | ||
| :target: https://mybinder.org/v2/gh/pymc-devs/pymc3/master?filepath=%2Fdocs%2Fsource%2Fnotebooks | ||
| .. |Build Status| image:: https://github.com/pymc-devs/pymc3/workflows/pytest/badge.svg | ||
| :target: https://github.com/pymc-devs/pymc3/actions | ||
| .. |Coverage| image:: https://codecov.io/gh/pymc-devs/pymc3/branch/master/graph/badge.svg | ||
| :target: https://codecov.io/gh/pymc-devs/pymc3 | ||
| .. |Dockerhub| image:: https://img.shields.io/docker/automated/pymc/pymc3.svg | ||
| :target: https://hub.docker.com/r/pymc/pymc3 | ||
| .. |NumFOCUS| image:: https://www.numfocus.org/wp-content/uploads/2017/03/1457562110.png | ||
| :target: http://www.numfocus.org/ | ||
| .. |Quantopian| image:: https://raw.githubusercontent.com/pymc-devs/pymc3/master/docs/quantopianlogo.jpg | ||
| :target: https://quantopian.com | ||
| .. |NumFOCUS_badge| image:: https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A | ||
| :target: http://www.numfocus.org/ | ||
| .. |ODSC| image:: https://raw.githubusercontent.com/pymc-devs/pymc3/master/docs/odsc_logo.png | ||
| :target: https://odsc.com | ||
| .. |tidelift| image:: https://img.shields.io/badge/-lifted!-2dd160.svg?colorA=58595b&style=flat&logo=data:image/png;base64,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%2FwCjUTnDygkGoVERFQaZFlE9nreO%2BdM5u5wkifvuee892Pu3CyEcA0DeIc%2B9IwftJsR6Cko3uCjguZdjuBZhhwmYDjGrOC96WED41UtsgEdGEAPlmAfpuAbFF%2BFZLfoMfRBGzThDtLgePPwBIpdddGzOArhPHUXowbNptE2www6a%2Fm96Y3pHN7oQ1s%2B13pxt1ENaKzBFWyWzaJ%2BRO0C9Jny6VPSoKjLVbMDC5bn5OPuJF%2BBSe95PVEMuugY5AegS9fCh7BedP45hRnj8TC34QQUe9bTZyh2KgvFk2vc8GIlXyTfsvqr6bPpNgv52ynnlomZJNpB70Xhl%2Bf6Sa02p1bApEfnETwxVa%2Faj%2BW%2FFtHltmxS%2FO3krvpTtTnVgu%2F6gvHRFvG78Ef3kOe5PimJXycY74blT5R%2BAAAAAElFTkSuQmCC | ||
| :target: https://tidelift.com/subscription/pkg/pypi-pymc3?utm_source=pypi-pymc3&utm_medium=referral&utm_campaign=enterprise | ||
| .. |tidelift_learn| image:: https://img.shields.io/badge/-learn%20more-2dd160.svg?color=orange&labelColor=58595b&style=flat&logo=data:image/png;base64,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%2FwCjUTnDygkGoVERFQaZFlE9nreO%2BdM5u5wkifvuee892Pu3CyEcA0DeIc%2B9IwftJsR6Cko3uCjguZdjuBZhhwmYDjGrOC96WED41UtsgEdGEAPlmAfpuAbFF%2BFZLfoMfRBGzThDtLgePPwBIpdddGzOArhPHUXowbNptE2www6a%2Fm96Y3pHN7oQ1s%2B13pxt1ENaKzBFWyWzaJ%2BRO0C9Jny6VPSoKjLVbMDC5bn5OPuJF%2BBSe95PVEMuugY5AegS9fCh7BedP45hRnj8TC34QQUe9bTZyh2KgvFk2vc8GIlXyTfsvqr6bPpNgv52ynnlomZJNpB70Xhl%2Bf6Sa02p1bApEfnETwxVa%2Faj%2BW%2FFtHltmxS%2FO3krvpTtTnVgu%2F6gvHRFvG78Ef3kOe5PimJXycY74blT5R%2BAAAAAElFTkSuQmCC | ||
| :target: https://tidelift.com/subscription/pkg/pypi-pymc3?utm_source=pypi-pymc3&utm_medium=referral&utm_campaign=enterprise | ||
| .. |tidelift_demo| image:: https://img.shields.io/badge/-request%20a%20demo-2dd160.svg?color=orange&labelColor=58595b&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABEAAAAOCAYAAADJ7fe0AAAAAXNSR0IArs4c6QAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAAVlpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDUuNC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDovL25zLmFkb2JlLmNvbS90aWZmLzEuMC8iPgogICAgICAgICA8dGlmZjpPcmllbnRhdGlvbj4xPC90aWZmOk9yaWVudGF0aW9uPgogICAgICA8L3JkZjpEZXNjcmlwdGlvbj4KICAgPC9yZGY6UkRGPgo8L3g6eG1wbWV0YT4KTMInWQAAAVhJREFUKBV1kj0vBFEUhmd2sdZHh2IlGhKFQuOviEYiNlFodCqtUqPxA%2FwCjUTnDygkGoVERFQaZFlE9nreO%2BdM5u5wkifvuee892Pu3CyEcA0DeIc%2B9IwftJsR6Cko3uCjguZdjuBZhhwmYDjGrOC96WED41UtsgEdGEAPlmAfpuAbFF%2BFZLfoMfRBGzThDtLgePPwBIpdddGzOArhPHUXowbNptE2www6a%2Fm96Y3pHN7oQ1s%2B13pxt1ENaKzBFWyWzaJ%2BRO0C9Jny6VPSoKjLVbMDC5bn5OPuJF%2BBSe95PVEMuugY5AegS9fCh7BedP45hRnj8TC34QQUe9bTZyh2KgvFk2vc8GIlXyTfsvqr6bPpNgv52ynnlomZJNpB70Xhl%2Bf6Sa02p1bApEfnETwxVa%2Faj%2BW%2FFtHltmxS%2FO3krvpTtTnVgu%2F6gvHRFvG78Ef3kOe5PimJXycY74blT5R%2BAAAAAElFTkSuQmCC | ||
| :target: https://tidelift.com/subscription/request-a-demo?utm_source=pypi-pymc3&utm_medium=referral&utm_campaign=enterprise | ||
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