Colin Carroll
where else to find them
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 5 in the filters
on a stage with
- Hannah Aizenmanonce
- Karin C. Knudsononce
- Thomas Caswellonce
who talks about the same things
- Thomas Wiecki7 talks
- Nicole Carlson6 talks
- Allen Downey9 talks
- Chris Fonnesbeck7 talks
- Peadar Coyle3 talks
- Rhydwyn McGuire4 talks
| title | conference | date |
|---|---|---|
| JAX for Bayes | PyData NYC 2022 | 2022-11-09 |
Implements a regression-for-classification on a small golf dataset across five model libraries and runs inference with four inference libraries (JAX-backed… | ||
| Getting started with automatic differentiation | PyCon US 2020 | 2020-04-15 |
Explains how automatic differentiation computes exact derivatives and scales to millions of parameters, demonstrates gradient computation and repeated grad… | ||
| Building a maintainable plotting library-PyData NYC | PyData New York City 2019 | 2019-11-04 |
Concrete how-to for making reusable plotting code: use matplotlib rcParams style files for lab-wide defaults, wrap plotting into functions that accept an ax=… | ||
| Fighting Gerrymandering with PyMC3 | PyCon 2018 | 2018-05-11 |
Bayesian hierarchical ecological inference (King‑Rosen‑Tanner style) gets implemented with PyMC3 implementation to produce precinct‑level posterior… | ||
| Improved Workflow With Isolated Jupyter Environments | O’Reilly Jupyter Pop-up Boston 2018 | 2018-03-21 |
A tiny tool called Callisto wires a virtualenv or conda env into JupyterLab so a notebook gets a kernel named for that environment; two commands are all that’s… | ||
| nothing matches | ||