Carol Willing
where else to find them
website:https://willingconsulting.com
github:willingc
bluesky:willingc.bsky.social
linkedin:carolwilling
speakerdeck:willingc
devto:willingc
what they talk about
all 7 in the filters
where they keep going back
- PyCon US3 editions2023–2026
all 6 in the filters
on a stage with
- Abigail Afi Gbadagoonce
- Brett Cannononce
- Catherine Nelsononce
all 22 in the filters
who talks about the same things
- Mario Munoz12 talks
- Brett Cannon8 talks
- Harry Percival10 talks
- Brian E. Granger8 talks
- Łukasz Langa15 talks
- Trey Hunner23 talks
| title | conference | date |
|---|---|---|
| Beyond the Hype: A Pragmatic Look at How Developers Actually Use AI Tools | PyCon US 2026 | 2026-05-13 |
Claude Code, GitHub Copilot, Codex, MS Copilot Studio and PyCharm agents feature in concrete workflows: deployed a website in 30 minutes using an open‑source… | ||
| Get ready for PyCon US 2024! Tips and tricks from our community. | PyCon US 2024 | 2024-05-15 |
PyCon US is the largest Python conference with more than 2,000 registered attendees and a full week of events: Open Spaces ad hoc sessions, poster sessions and… | ||
| Keynote Speaker – Carol Willing | PyCon US 2023 | 2023-04-19 |
Three concrete claims: networks rest on connection communication scale, interactive notebooks scale education and research, and LLMs and agents are tools not… | ||
| Core Python Devs on how COVID has changed core Python development | PyCascades 2021 | 2021-02-19 |
Core Python development shifts to remote rituals: weekly Steering Council meetings and virtual Language Summits and sprints replace in‑person collabs but… | ||
| Python 2020: The State of the Language | Python fwdays'20 online conference | 2020-05-16 |
Python 3.8 is released and Python 3.9 is in beta with concrete changes: walrus operator and positional-only args (3.8), a new PEG parser replacing the LL(1)… | ||
| Keynote – Carol Willing | PyData Los Angeles 2019 | 2019-12-03 |
PyData/NumFOCUS context plus concrete takeaways: a global weather agency runs 255 petabytes of data adding 250 terabytes a day and 400 billion fields, enabling… | ||
| Practical Sphinx | PyCon 2018 | 2018-05-11 |
Practical steps for Sphinx: combine reStructuredText Markdown and Jupyter Notebooks using nbsphinx and pandoc, keep conf.py as executable config, run make… | ||
| Keynote: Data, Decision Making, and Being Human | PyData Carolinas 2016 | 2016-09-14 |
Data-driven claims and concrete artifacts, not platitudes: Jupyter notebooks are shown as the tool that helped Filipino health teams coordinate tuberculosis… | ||
| JupyterHub: A "things explainer overview" | PyData Carolinas 2016 | 2016-09-14 |
JupyterHub spawns and manages one Jupyter notebook server per user, with a Hub that handles authentication, a proxy that routes traffic, and pluggable spawners… | ||
| nothing matches | ||