(about)=
# About

:::{tip}
Wondering if the sprint is for you? We have got just the page: {ref}`decision_tree`
:::

(organizers)=
## Organizers

::::{grid} 2 2 3 5
:gutter: 3

:::{grid-item-card}
:link: https://mjhajharia.com
:shadow: none
:class-body: sd-text-center
:class-card: border-0

<img alt="Meenal Jhajharia" class="rounded-circle" src="../../_static/people/meenal.jpg">

Meenal  Jhajharia
:::
:::{grid-item-card}
:link: https://reshamas.github.io
:shadow: none
:class-body: sd-text-center
:class-card: border-0

<img alt="Reshama Shaikh" src="../../_static/people/reshama.jpg" class="rounded-circle">

Reshama Shaikh
:::
:::{grid-item-card}
:link: https://mjhajharia.com
:shadow: none
:class-body: sd-text-center
:class-card: border-0

<img alt="Beryl Kanali" src="../../_static/people/beryl.JPG" class="rounded-circle">

Beryl Kanali
:::
:::{grid-item-card}
:link: https://www.linkedin.com/in/sandy-weng-a0959762/
:shadow: none
:class-body: sd-text-center
:class-card: border-0

<img alt="Sandy Weng" src="../../_static/people/sandy.jpg" class="rounded-circle">

Sandy Weng
:::
:::{grid-item-card}
:link: https://oriolabrilpla.cat/en/
:shadow: none
:class-body: sd-text-center
:class-card: border-0

<img alt="Oriol Abril Pla" src="../../_static/people/oriol.jpg" class="rounded-circle">

Oriol Abril Pla
:::
::::

Additionally, we thank [Ravin Kumar](https://ravinkumar.com) (Volunteer), [Austin Rochford](https://austinrochford.com) (Speaker), [Ricardo Vieira](https://github.com/ricardoV94/) (Speaker), [Sayam Kumar](https://github.com/Sayam753) (Volunteer), [Thomas Wiecki](https://twiecki.io) (Volunteer), [Christian Luhmann](http://cluhmann.github.io/) (Volunteer) and [NumFOCUS](https://numfocus.org) for their support.

## About PyMC and Data Umbrella

[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.

[PyMC](https://docs.pymc.io/en/latest/about.html) 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.

## Banner code and credit
This [banner](https://raw.githubusercontent.com/pymc-devs/pymc-data-umbrella/main/2022-02_sprint/banner.png) is generated from [this code](https://github.com/pymc-devs/pymc-data-umbrella/blob/main/2022-02_sprint/banner.py), the code in this link is a trivial customization of the [original code](https://github.com/pymc-devs/pymcon/blob/gh-pages/assets/make_trajectories.py) by [Colin Caroll](https://colindcarroll.com) who designed a [similar banner for PyMCon 2020](https://pymc-devs.github.io/pymcon/), Colin is amazing at visualization stuff and even has a couple of [talks](https://github.com/ColCarroll/yourplotlib) about it!!