Dharhas Pothina
where else to find them
what they talk about
all 8 in the filters
where they keep going back
- PyData NYC2 editions2023–2024
- PyCon US2 editions2023–2024
on a stage with
who talks about the same things
- Pavithra Eswaramoorthy5 talks
- Julia Signell4 talks
- Matthew Rocklin13 talks
- Eswaramoorthy2 talks
- Tom Augspurger5 talks
- Philipp Rudiger5 talks
| title | conference | date |
|---|---|---|
| How many dataframe libraries do you need to change a lightbulb? | PyData NYC 2024 | 2024-11-06 |
Compares pandas, Polars, and DuckDB by concrete limits and wins: pandas fails on a 50 GB dataset on a single laptop while Polars and DuckDB stream and complete… | ||
| From RAGs to riches: Build an AI document inquiry web-app | PyCon US 2024 | 2024-05-15 |
Presented by:
Pavithra Eswaramoorthy
Andrew Huang
Dharhas Pothina
As we descend from the peak of the hype cycle around Large Language Models (LLMs)… | ||
| Taming the toxic python environment on your laptop | PyData NYC 2023 | 2023-11-01 |
A desktop+cloud UI called conosur (cond store in the transcript) actually builds reproducible artifacts: it creates a lock file with exact hashes, produces… | ||
| Data of Unusual Size: Interactive Visualization | PyCon US 2023 | 2023-04-19 |
Loads a 70 GB CSV airline set from cloud storage, converts to columnar Parquet, and shows why data types, partitioning and pre-sorting matter for performance… | ||
| Building a User Maintainable Visualization Dashboard for... | PyData Austin 2019 | 2019-12-07 |
LSST generates 15 Terabytes per night from a 3.2 gigapixel camera and the team builds a deployable multi‑page visualization dashboard so pipeline faults are… | ||
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