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# System prepended metadata

title: Scipy 2023 Reflection

---

Echospace 7/18/2023

## What was it like?

- Cool to meet new people with a range of expertise in both science domains and software development/engineering.
- Even with 8 years of software experience, still experienced **Imposter Syndrome**, especially meeting the developers I look up to, but everyone were very friendly and inclusive, no matter what your level of expertise.
- It was very fun at the end of the conference days with very punny lightning talks.
- Got lots of stickers!!! AND Trading cards!!
- The talks are both very technical and domain specific, but also were about open source community buildings.
- The tutorials were very insightful and cool.
- Wished I stayed for sprinting days! Got to hack on a feature a little bit with two of the core xarray dev!

## What I learned?

- Scientific Python Org: https://scientific-python.org/
- Pyopensci Org: https://www.pyopensci.org/
- Conda libmamba solver: https://conda.github.io/conda-libmamba-solver/
- VSCode:
    - Profiles: https://code.visualstudio.com/docs/editor/profiles
    - Jupyter notebooks: https://code.visualstudio.com/docs/datascience/jupyter-notebooks
    - Debugging: https://code.visualstudio.com/Docs/editor/debugging
    - Liveshare: https://code.visualstudio.com/learn/collaboration/live-share
    - Data wrangler: https://devblogs.microsoft.com/python/data-wrangler-release/
- Github codespaces: https://github.com/features/codespaces
    - Example: https://github.com/xarray-contrib/xarray-tutorial