Allen Downey
where else to find them
website:http://allendowney.com
github:AllenDowney
bluesky:allendowney.bsky.social
mastodon:@allendowney@fosstodon.org
linkedin:allendowney
speakerdeck:allendowney
what they talk about
all 4 in the filters
where they keep going back
- PyData Global3 editions2022–2024
all 6 in the filters
on a stage with
- Douglas Blankonce
- Taylor Martinonce
who talks about the same things
- Vincent D Warmerdam22 talks
- Marysia Winkels9 talks
- Ian Ozsvald17 talks
- Alon Nir5 talks
- Reuven M. Lerner24 talks
- Aileen Nielsen7 talks
| title | conference | date |
|---|---|---|
| The SAT math gap- gender difference or selection bias | PyData Boston 2025 | 2025-12-08 |
A Bayesian model uses PreliZ for priors, PyMC for inference and ArviZ for validation to estimate latent efficacy, a logistic selection curve, and a Gaussian… | ||
| Time Series Analysis with StatsModels | PyData Global 2024 | 2024-12-03 |
Shows how to build time‑series models from first principles with pandas then switch to StatsModels: compute a 12‑month moving average, extract a repeated… | ||
| A future of data science | posit::conf(2024) | 2024-08-12 |
Argues that computation — not theory — made modern data science, demonstrating bootstrap resampling on BRFSS heights in nine lines of code to show men are… | ||
| Extremes, outliers, and GOATS: on life in a lognormal world | PyData Global 2023 | 2023-12-06 |
Claim: lifetime achievement often follows a lognormal rather than a Gaussian, so the top performer can be far ahead (Wayne Gretzky ~2900 vs ~1900 points). Two… | ||
| Bayesian Decision Analysis [Tutorial] | PyData Global 2022 | 2022-12-01 |
Hands-on walkthrough of Bayesian decision analysis with runnable Jupyter notebooks (Colab), using NumPy, SciPy and Pandas to represent PMFs and implement… | ||
| Chasing the Overton Window | PyData NYC 2022 | 2022-11-09 |
General Social Survey data (≈70,000 interviews) map beliefs to a 15-question conservatism scale using item response theory and Bayesian imputation; analysis… | ||
| The Inspection Paradox is Everywhere | PyData New York City 2019 | 2019-11-04 |
Explains the inspection paradox with concrete data and code: a live Colab notebook and one-question survey, class-size data from Purdue, MBTA train intervals… | ||
| Panel: Jupyter in Education | O’Reilly Jupyter Pop-up Boston 2018 | 2018-03-21 |
Faculty report using Jupyter every day for four years and running a 14‑week data engineering sequence by provisioning Docker images and DigitalOcean droplets… | ||
| nothing matches | ||