Travis E. Oliphant
where else to find them
what they talk about
all 8 in the filters
where they keep going back
- PyTorch Conference2 editions2023–2025
all 8 in the filters
on a stage with
- Saul Shanabrookonce
who talks about the same things
- Peter Wang17 talks
- Andy Terrel11 talks
- Joe Spisak23 talks
- Juan Luis Cano Rodríguez11 talks
- Sponsor1 talk
- Joe3 talks
| title | conference | date |
|---|---|---|
| Building the Next Generation of Open Source AI Tooling | PyTorch Conference 2025 | 2025-10-22 |
OpenTeams describes an open-source platform called Nibari that installs a Jupyter-based AI stack in about 30 minutes and evolves into a modular AI deployment… | ||
| Keynote: The Promise of PyTorch as a General-Purpose Array-Oriented Computational.. | PyTorch Conference 2023 | 2023-10-16 |
Argues that PyTorch now serves as a general-purpose array backend by implementing the Array API, so libraries like scikit-learn and SciPy can dispatch to a… | ||
| Keynote | PyData Seattle 2023 | 2023-04-26 |
History of building and distribution dominates: creation of NumPy and SciPy, an early workshop that became PyData in 2012, and a packaging focus that produced… | ||
| Python for Speed, Scale, and Science | Python fwdays'20 online conference | 2020-05-16 |
Claims that Python scales and speeds using real tools not promises: NumPy and SciPy turn Python lists into byte blobs for fast array ops, Anaconda reached ~20… | ||
| Extending Python Into the Future | PyData Austin 2019 | 2019-12-07 |
A proposal to build ePython, a typed-subset extension language that compiles one source to multiple runtimes (CPython PyPy RustPython MicroPython Jython… | ||
| uarray: Separating interface from implementation | PyData Austin 2019 | 2019-12-07 |
Claims that NumPy must separate interface from implementation and that __array_ufunc__ and __array_function__ are insufficient, and presents a working… | ||
| Q&A with Keynote Travis Oliphant | PyData Austin 2019 | 2019-12-07 |
A candid account of how open source converts to cash claims 3,000 copies sold (~$90,000) with ~$60,000 funding a PhD student, argues that companies monetize… | ||
| Keynote: The Business of Open Source | PyData DC 2018 | 2018-11-16 |
Argues that open source succeeds or fails on concrete economics not slogans, citing SciPy hits 1.0 after 17 years and NumPy ~700 contributors as evidence of… | ||
| uarray - Efficient and Generic Array Computation | PyData DC 2018 | 2018-11-16 |
Claims a practical system uarray that rewrites array expressions via the Mathematics of Arrays to eliminate temporaries and unneeded work, then emits code for… | ||
| Travis Oliphant - Chief Data Scientist and co-founder of Continuum Analytics | PyData Barcelona 2017 | 2017-05-19 |
Filmed at PyData Barcelona 2017
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData… | ||
| KEYNOTE: Scaling Out PyData | PyData London 2016 | 2016-05-06 |
Claims that Python now scales both up and out with concrete tools and numbers: numba compiles Python to native code with GPU targets and reports up to 2000x… | ||
| Building the PyData Community | PyData Berlin 2014 | 2014-07-25 |
Describes building PyData around a nonprofit called num Focus claiming US 501c3 status to fund numpy scipy pandas IPython and community activities, funded… | ||
| Packaging and Deployment | PyData Berlin 2014 | 2014-07-25 |
Shows concrete, repeatable packaging: use conda environments to install Python, numpy, scipy and switch between 2.7/3.x; conda uses a SAT solver and a simple… | ||
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