Matt Harrison
where else to find them
what they talk about
all 8 in the filters
where they keep going back
- PyData Global2 editions2022–2023
- PyCon US2 editions2020–2023
- Conf42 Python2 editions2021–2023
all 9 in the filters
on a stage with
- Abhiram Ravikumaronce
- Akmal Chaudhrionce
- Alejandro Cantosonce
all 13 in the filters
who talks about the same things
- Ian Ozsvald17 talks
- James Powell43 talks
- Reuven M. Lerner24 talks
- Juan Luis Cano Rodríguez11 talks
- Patrick Hoefler11 talks
- Marco Edward Gorelli14 talks
| title | conference | date |
|---|---|---|
| An Introduction to Polars | PyData NYC 2024 | 2024-11-06 |
Compares Pandas and Polars by showing concrete moves: loads a Strava GPX, casts elapsed seconds down to int16 (fails at int8), converts timestamps to Mountain… | ||
| From Pandas to Polars Upgrading Your Data Workflow | PyBay 2024 | 2024-09-21 |
Compares Pandas and Polars by showing concrete edits on a 1 MB Strava GPX: Polars uses a Rust backend with Arrow, lazy evaluation and multithreading to avoid… | ||
| Keynote 3: AI and Programmers - Partners or Rivals? | PyCon Philippines 2024 | 2024-02-25 |
AI and Programmers - Partners or Rivals?
It is a time of uncertainty. Rumors and evidence of mass layoffs. Folks having a hard time getting employment. AI… | ||
| An Introduction to Pandas 2, Polars, and DuckDB | PyData Global 2023 | 2023-12-06 |
Shows concrete tradeoffs and outcomes: Pandas 2 optionally uses the PyArrow backend, yields ~50–70% string memory savings and copy‑on‑write behavior, and… | ||
| Premiere | Conf42 Machine Learning 2023 | 2023-05-18 |
A rapid lineup of short sessions promises concrete takeaways: why Edge is the new Cloud with cases that must not send data to the cloud, an Apache Airflow… | ||
| Polars: A highly optimized dataframe library | Conf42 Machine Learning 2023 | 2023-05-18 |
Polars 0.17 loads a 41k×83 CSV with scan_csv lazy + collect and through targeted casts and categoricals reduces memory from ~33 MB to ~2.5 MB (examples… | ||
| Getting Started with Polars | PyCon US 2023 | 2023-04-19 |
Workshop uses Polars 0.17.5 on a real Twitter CSV (~5700 rows × 40 cols) and shows concrete moves: parse messy datetimes with strptime and timezone convert… | ||
| KEYNOTE: Consulting for Introverted Developers 🧭 | Python Web Conf 2023 | 2023-03-13 |
Practical steps for introverted developers who want paying work: form an LLC and hire an accountant, list the service on LinkedIn, expect many leads to come… | ||
| Consulting for Introverted Developers | Conf42 Python 2023 | 2023-03-09 |
Consulting for introverted developers focuses on concrete moves: form an LLC and accountant for tax and liability, use a health‑insurance broker, and list… | ||
| Testing Pandas- Shoots, leaves, and garbage! | PyData Global 2022 | 2022-12-01 |
Shows concrete, runnable steps to make Pandas pipelines testable: a chained monthly_summary function on Alta ski data that shrinks ~14,000 rows to ~2,000 after… | ||
| Idiomatic Pandas | Global Artificial Intelligence Virtual Conference 2022 | 2022-03-17 |
Five concrete Pandas practices produce big wins: enforce correct dtypes and convert wide integers to smaller numpy types (example converting columns to int8… | ||
| Idiomatic Pandas | Conf42 Python 2021 | 2021-05-27 |
Uses Pandas 1.2.3 on a ~40,000-row, 83-column auto dataset and shows concrete wins: convert integer/float columns (cylinders from float to int), parse dates… | ||
| Hands-on Python for Programmers | PyCon US 2020 | 2020-04-15 |
Downloads a raw CSV from a GitHub endpoint, parses lines into dictionaries, converts numeric fields, and filters by state; creates a time-series plot with… | ||
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