Erik Welch
where else to find them
what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Jim Kitchenonce
- Mridul Sethonce
who talks about the same things
- Mridul Seth5 talks
- Aditi Juneja3 talks
- Jan-Benedikt Jagusch2 talks
- Eric J. Ma8 talks
- Sindre Breda3 talks
- Keith Kraus4 talks
| title | conference | date |
|---|---|---|
| Fast NetworkX and How Accelerated Backends Are Changing Graph Analytics | PyData Paris 2024 | 2024-09-25 |
NetworkX now dispatches hundreds of algorithms to accelerated backends so the same API runs on GPUs (cugraph + cuDF), GraphBLAS implementations, or falls back… | ||
| NetworkX is Fast Now: Graph Analytics Unleashed | PyCon US 2024 | 2024-05-15 |
NetworkX adds a dispatch layer (since NetworkX 3.0) that runs algorithms on heterogeneous backends and shows concrete speedups: a 90k‑edge / 3k‑node clustering… | ||
| 100x Faster NetworkX: Dispatching to GraphBLAS | PyData Global 2022 | 2022-12-01 |
NetworkX adds an opt in plugin layer that dispatches decorated algorithms to compiled back ends so Python code runs orders of magnitude faster. It wires via a… | ||
| Functional programming in Python with PyToolz | PyOhio 2014 | 2014-07-26 |
Library demo of toolz and cytoolz shows concrete utilities (pipe, compose, curry, memoize, dicttoolz, itertoolz) that extend itertools/functools and target… | ||
| nothing matches | ||