GitHub Statistics | @astrochun

👋. I'm Chun!

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Background

🔭 I'm a research astrophysicist by trade for twenty years.

Currently I work at the Princeton University Plasma Physics Laboratory as a Research Data Developer.

These days, I build Python software for:

  1. Data analysis and visualization
  2. Supporting open-access initiatives such as data and article publishing

Open source development

I enjoy coming up with new coding projects in my free time. Most recently I made or am working on:

  1. A streamlit app to interact with U.Arizona public salary data: https://sapp4ua.herokuapp.com
  2. A GitHub Docker container action to gather GitHub traffic statistics and publish them static pages on GitHub Pages or on a web server: https://astrochun.github.io/github-stats
  3. A webscraping tool to extract voting records from VoxCharta.
  4. A Python tool to properly handle BibTeX records for my Hugo Academic site

U.Arizona and the ReDATA project

Previously I was the lead developer for the following software while working at U.Arizona on the ReDATA project:

  1. redata-docs - Sphinx documentation on the ReDATA software and systems.
  2. LD-Cool-P - Pure Python tool for data curation of figshare for Institutions submissions.
  3. ldcoolp-figshare - A generalized pure Python tool for data curators/administrators to interact with their figshare for Institutions instance through the figshare API.
  4. ReQUIAM - Pure Python tool for Grouper identity and access management.
  5. figstats - Pure Python tool to retrieve statistics of published datasets from the figshare stats API.
  6. redata-commons - Pure python libraries for all ReDATA software.
  7. ReM - A FastAPI web app for the construction of README.txt for ReDATA submissions.

Astrophysics software development

As a research scientist, I built a number of software for astronomical data reduction. This includes:

  1. MMTtools - Pure Python tool to automate MMT/MMIRS data reduction. You can read more here.
  2. GNIRSLongSlit - Python tool to reduce Gemini/GNIRS data. You can read more here.

More information can be found on my GitHub page.

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