Isabel Zimmerman
where else to find them
what they talk about
all 8 in the filters
where they keep going back
- posit::conf( )3 editions2023–2025
- PyData NYC2 editions2022–2024
- rstudio::conf( )2 editions2019–2022
all 8 in the filters
on a stage with
- Davis Vaughanonce
- Jenny Bryanonce
- Jonathan McPhersononce
all 6 in the filters
who talks about the same things
- Julia Silge5 talks
- James E. Blair18 talks
- Antoni Ivanov6 talks
- Dean Pleban5 talks
- Duarte Carmo4 talks
- Tom Mock6 talks
| title | conference | date |
|---|---|---|
| Keynote Speaker-Isabel Zimmerman | PyData Boston 2025 | 2025-12-08 |
Compares pandas to polars (Rust backend) and claims a simple switch speeds common workflows, describes building an MLOps package (Vetiver‑style) and an IDE… | ||
| IDE-ntity Crisis: Choosing the Right Tool for Me | posit::conf(2025) | 2025-09-16 |
Compares JupyterLab, VS Code and Positron by concrete features: notebooks and widget compatibility in JupyterLab; VS Code’s extensions and %%-powered… | ||
| End-to-end data science with the Positron IDE | PyData NYC 2024 | 2024-11-06 |
Positron is a VS Code fork for multilingual data science that claims to replace stitching tools by offering an interpreter selector (conda mamba pyenv venv… | ||
| Introducing Positron, a new data science IDE | posit::conf(2024) | 2024-08-12 |
Positron is a newly public early beta IDE (six weeks) that runs R and Python via language packs and aims to be extensible to other languages; it ships a new… | ||
| Thanks, I Made It with Quartodoc | posit::conf(2023) | 2023-09-17 |
Quartodoc automatically generates Python function reference pages as Quarto Markdown files, replicating pkgdown’s R-style index/reference/articles layout. It… | ||
| Practical MLOps for better models | PyData Global 2022 | 2022-12-01 |
Claim: vetiver actually versions, deploys, and monitors models end to end with concrete tooling. It uses vetiver model objects pinned into pins boards, stores… | ||
| Holistic MLOps for better science | PyData NYC 2022 | 2022-11-09 |
Claims that MLOps practices help small teams and then shows an implementation using the open source vetiver framework to version share deploy and monitor… | ||
| Building an MLOps strategy from the ground up | Crunch Conference 2022 | 2022-10-03 |
Practical guide to getting models into production: use vetiver (R/Python) to package pipelines with an input prototype, pin versions via pins, and deploy a… | ||
| Demystifying MLOps | rstudio::conf(2022) | 2022-07-25 |
Vetiver is an R and Python framework that turns a saved model into a versioned, deployable object using Vetiver and pins; a model board stores versions and an… | ||
| Explaining model explainability | Berlin Buzzwords 2021 | 2021-06-15 |
Explains practical explainability: uses a support vector classifier on the MIMIC MRSA dataset (demo uses 108 samples, ~90% accuracy) and runs explainers from… | ||
| Beyond Inference: Bringing ML into Production | DevConf.CZ 2021 | 2021-02-18 |
Argues that model value starts after training and demonstrates a runnable pipeline: a containerized image classifier plus an anchor explainer deployed as two… | ||
| Demystifying MLOps | rstudio::conf 2019 | 2019-01-15 |
Claims that Vetiver makes model deployment feel native to data scientists and shows an end to end Vetiver workflow in R and Python. Demonstrates versioning… | ||
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