8000 nyc python cp; about du/pymc (#213) · pymc-devs/pymc-data-umbrella@4b59ddf · GitHub
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nyc python cp; about du/pymc (#213)
* nyc python cp; about du/pymc * rename cp card * fix formatting for nyc python
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2023-03_sprint/sprint_parties/community_partners.md

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**Metadocencia:** Co-Creating and Teaching Open Science in Spanish-speaking regions.
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:::
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:::{grid-item-card}
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:link: https://www.meetup.com/pydatanyc/
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:shadow: none
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:class-card: border-0
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![PyData NYC](../../_static/community_partners/nyc-pydata-logo.png)
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**PyData NYC:** Provides a forum for the community of users and developers of data analysis tools to share ideas and learn from each other.
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(du_pymc)=
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# Data Umbrella & PyMC
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## Data Umbrella
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[Data Umbrella](https://www.dataumbrella.org/) is a global community for underrepresented persons in data science. It is a fiscally hosted project of Open Collective, a registered 501(c)(3) non-profit based in California, USA. Data Umbrella: organizes online speaker series on data science and open source, organizes sprints / hackathons, curates resources on inclusive practices. All levels are welcome, beginners and experts.
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[Data Umbrella on Open Collective](https://opencollective.com/data-umbrella)
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## PyMC
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[PyMC](https://www.pymc.io) is a probabilistic programming package for Python that allows users to fit Bayesian models using a variety of numerical methods, most notably Markov chain Monte Carlo (MCMC) and variational inference (VI). Its flexibility and extensibility make it applicable to a large suite of problems. PyMC is a non-profit project under NumFOCUS.
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[PyMC on Open Collective](https://opencollective.com/pymc)

2023-03_sprint/sprint_parties/index.md

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:::{toctree}
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:maxdepth: 2
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organizers
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sponsors

2023-03_sprint/sprint_parties/organizers.md

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## About PyMC and Data Umbrella
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[Data Umbrella](https://www.dataumbrella.org/) is a global community for underrepresented persons in data science. It is a fiscally hosted project of Open Collective, a registered 501(c)(3) non-profit based in California, USA. Data Umbrella: organizes online speaker series on data science and open source, organizes sprints / hackathons, curates resources on inclusive practices. All levels are welcome, beginners and experts.
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[PyMC](https://www.pymc.io) is a probabilistic programming package for Python that allows users to fit Bayesian models using a variety of numerical methods, most notably Markov chain Monte Carlo (MCMC) and variational inference (VI). Its flexibility and extensibility make it applicable to a large suite of problems. PyMC is a non-profit project under NumFOCUS.
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[reshama_web]: https://reshamas.github.io
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[reshama_github]: https://github.com/reshamas
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[reshama_twitter]: https://twitter.com/reshamas
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