John Kirkham
Appearances by year
- SciPy Conference (Scientific Computing with Python)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 7, 2025 | SciPy 2025 | SciPy Conference (Scientific Computing with Python) | tutorial | Reproducible Machine Learning Workflows for Scientists with pixiScientific researchers need reproducible software environments for complex applications that can run across heterogeneous computing platforms. Modern open…Show lessScientific researchers need reproducible software environments for complex applications that can run across heterogeneous computing platforms. Modern open source tools, like `pixi`, provide automatic reproducibility solutions for all dependencies while providing a high level interface well suited for researchers. | |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | speaker | New CUDA Toolkit packages for Conda In this talk, we will examine the new CUDA package layout for Conda (as included in conda-forge). Show how CUDA components have been broken out. | |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python EcosystemThe array API standard (https://data-apis.org/array-api/) is a common specification for Python array libraries, such as NumPy, PyTorch, CuPy, Dask, and JAX.…Show lessThe array API standard (https://data-apis.org/array-api/) is a common specification for Python array libraries, such as NumPy, PyTorch, CuPy, Dask, and JAX. This standard will make it straightforward for array-consuming libraries, like scikit-learn and SciPy, to write code that uniformly supports all of these libraries. | |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | speaker | Zarr: Community specification of large, cloud-optimised, N-dimensional, typed array storageA key feature of the Python data ecosystem is the reliance on simple but efficient primitives that follow well-defined interfaces to make tools work seamlessly…Show lessA key feature of the Python data ecosystem is the reliance on simple but efficient primitives that follow well-defined interfaces to make tools work seamlessly together (Cf. http://data-apis.org/). | |
| Jul 8, 2019 | SciPy 2019 | SciPy Conference (Scientific Computing with Python) | speaker | dask-image:A Library for Distributed Image Processing |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Thomas J. Fan | 3 | 1 | 2025 |
| Brigitta Sipőcz | 3 | — | 2025 |
| Leo Fang | 2 | 1 | 2025 |
| Matthew Feickert | 2 | 1 | 2025 |
| Sanket Verma | 2 | 1 | 2025 |
| Ralf Gommers | 2 | 1 | 2023 |
| Tyler Reddy | 2 | 1 | 2023 |
| Albert Steppi | 2 | — | 2025 |
| Alex Monahan | 2 | — | 2025 |
| Alexander Kaszynski | 2 | — | 2025 |
| Ana Comesana | 2 | — | 2025 |
| Bane Sullivan | 2 | — | 2025 |
| C.A.M. Gerlach | 2 | — | 2025 |
| Carol Willing | 2 | — | 2025 |
| Daniel Chen | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.