Juan Luis Cano Rodríguez
where else to find them
website:https://tangled.sh/juanlu.space
github:astrojuanlu
linkedin:juanluiscanor
speakerdeck:astrojuanlu
devto:astrojuanlu
what they talk about
all 4 in the filters
where they keep going back
- PyData Global2 editions2022–2023
on a stage with
never shared a talk
who talks about the same things
- Matt Harrison16 talks
- Andreea Munteanu9 talks
- Peter Wang17 talks
- Ines Montani17 talks
- Travis E. Oliphant13 talks
- Andy Terrel11 talks
| title | conference | date |
|---|---|---|
| Who needs ChatGPT? Rock solid AI pipelines with Hugging Face and Kedro | PyData Global 2023 | 2023-12-06 |
Shows a concrete pipeline that extracts ~200 Mastodon posts into Minio/Delta, cleans text with Polars, loads Hugging Face models (a ~1GB summarizer and a… | ||
| Expressive & fast dataframes in Python with polars | PyData Global 2022 | 2022-12-01 |
Polars is a Rust + Arrow dataframe that claims much faster, lower‑memory ops than pandas and demonstrates it on a 1.8 GB StackOverflow CSV (~1.26M question… | ||
| Beyond Pandas: The Great Python Dataframe Showdown | PyData London 2022 | 2022-06-17 |
Compares pandas limits to concrete alternatives: Arrow shows memory-mapped CSV→Parquet conversion that drops a 1.9 GB CSV to 1.9 GB to <0.5 GB on disk; Vex… | ||
| Embrace conda packages. | PyData Madrid 2016 | 2016-03-12 |
Claim: create relocatable binary packages so users stop compiling. Uses conda-build plus CI like AppVeyor and Travis CI to produce Windows macOS and Linux… | ||
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