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author: Elena Romashkova
date: 2023-08-28
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# ESDS at SciPy 2023

ESDS had a sizable presence at [SciPy 2023](https://www.scipy2023.scipy.org/) this year! Many of us shared our work in a formal capacity through tutorials, talks, and posters–most of these were recorded and have resources available publicly online, which we’ve compiled below. There were also lots of opportunities to make connections with people doing work in the broader scientific Python ecosystem outside of our organization. It was very cool to see lots of different tools, projects, and workflows.

The [conference proceedings](https://conference.scipy.org/proceedings/) from this and prior years are now published as well. You can find published slides, posters, and articles for some of the conference’s presentations at the link above.

## ESDS and other NCAR/UCAR contributions:

### Talks and Tutorials

#### Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis
*Deepak Cherian, Tom Nicholas, Negin Sobhani, Scott Henderson, Anderson Banihirwe, Jessica Scheick, Don Setiawan*

Recording link: TBD
[Tutorial content](https://tutorial.xarray.dev/workshops/scipy2023/README.html)

#### Better (Open Source) Homes and Gardens with Project Pythia
*Kevin Tyle, Drew Camron*

[Recording link](https://www.youtube.com/watch?v=5ggKEmNn79c)
[Slides](https://zenodo.org/record/8221039 )

#### Climate Model Evaluation Workflow Built on Jupyter Notebooks
*Elena Romashkova*

[Recording link](https://www.youtube.com/watch?v=x_InyP5bUkI)
[Slides](https://docs.google.com/presentation/d/1jNhjVeQmTFPikWcSXX8YfylChmGTtE38/edit?usp=sharing&ouid=106991755025280121769&rtpof=true&sd=true)

#### Building MetPy for the Long Term: Working to Keep an Open Source Project Sustainable
*Ryan May*

[Recording link](https://www.youtube.com/watch?v=7hbGHHaRzBA)

#### Tidy Geospatial Cubes
*Emma Marshall, Deepak Cherian, Scott Henderson*

Recording link: TBD

### Posters:
#### Xarray with GPUs
*Deepak Cherian, Negin Sobhani, Max Jones*

[Content](https://negin513.github.io/cupy-xarray-tutorials/README.html)

#### Bringing automated data analysis and machine learning pipelines directly to end users using Unidata tools
*Thomas Martin, Hailey Johnson, Drew Camron*

Content: TBD

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