Hi there, I'm Carol Willing 👋 (she/her)
"I was interested in doing it, there was an opportunity, so I just did it." — Barbara Liskov
I'm a Python Core Developer, three-time Python Steering Council member, PSF Fellow, and Project Jupyter core contributor. I'm passionate about making open science accessible through open tools and great learning materials.
🐍 About Me
- 🔬 Leader in open science and open-source governance
- 🏆 2017 ACM Software System Award — Project Jupyter
- 🏆 2019 Frank Willison Award — technical & community contributions to Python
- 💼 Principal at Willing Consulting
- 🎙️ Speaker on Python, Jupyter, reproducible research, open source governance, cognitive science & the intersection of technology and society
- 🙏 Grateful mentor and supporter of PyLadies
- 🌊 Explorer of tide pools — always on the lookout for 🐙 🐚 🦦
🛠️ What I Work On
| Area | Projects |
|---|---|
| 🐍 Python | CPython, 3-term Python Steering Council member |
| 📓 Scientific Computing | Project Jupyter, JupyterHub, IPython, nteract |
| 🔬 Open Science | pyOpenSci, inclusive open science resources |
| 📚 Docs & Learning | Sphinx, documentation tooling, learning materials |
🚀 Key Projects
The projects below represent the open source work I contribute to most actively. Stats update automatically via live badges.
🐍 CPython — The Python Language Itself
Core contributor and three-time Python Steering Council member. Focused on language governance, documentation, and community health.
📓 Jupyter Notebook
The classic interactive computing environment that has become a de facto standard for data analysis, research, and education — and part of the work recognized by the 2017 ACM Software System Award.
🌐 JupyterHub
Multi-user Jupyter server powering research institutions, universities, and cloud platforms worldwide.
⚡ IPython
The powerful interactive Python shell and kernel that underpins the entire Jupyter ecosystem.
📄 nteract Papermill
A tool for parameterizing, executing, and analyzing Jupyter Notebooks at scale — widely used for reproducible research pipelines and automated reporting workflows.
🔬 napari
A fast, interactive, n-dimensional image viewer for Python — built for bioimage analysis and scientific visualization, with a growing plugin ecosystem.
🌱 pyOpenSci
Community-driven peer review and standards for scientific Python software. Committed to making open science more inclusive and reproducible.
🎯 Guiding Principle
🍎 Learn 🏗️ Build 🎁 Share
📬 Find Me
Based in San Diego, CA 🌴