Peter Wang
where else to find them
website:http://happypeter.github.io
github:happypeter
bluesky:wyppeter.bsky.social
speakerdeck:happypeter
devto:happypeter
what they talk about
all 6 in the filters
where they keep going back
no series more than once — all 10 in the filters
on a stage with
- Robert Cohnonce
who talks about the same things
- Travis E. Oliphant13 talks
- Andy Terrel11 talks
- Juan Luis Cano Rodríguez11 talks
- Alexander CS Hendorf25 talks
- Sylvain Corlay9 talks
- Ines Montani17 talks
| title | conference | date |
|---|---|---|
| Do Python and Data Science Matter in Our AI Future? | PyData Global 2024 | 2024-12-03 |
Argument: Python remains central because concrete infrastructure and community practices shape AI not slogans. Evidence: an open data science stack (e.g. numpy… | ||
| Secure Numerical Computing is Hard: Lessons from 10 Years of Open Data Science & the Long Road Ahead | SOSS Fusion 2024 | 2024-10-22 |
Annual survey data plus 12 years and ~$30M of investment show open numerical stacks carry brittle, value-dependent correctness: Fortran/C extensions, JITs and… | ||
| The Five Demons of Python Packaging That Fuel Our Persistent Nightmare | PyBay 2024 | 2024-09-21 |
Python’s pain has five concrete causes: native extensions force C toolchain, ABI and build-matrix headaches (conda vs wheels matter); repository vs… | ||
| Keynote: Does Open Data Science Lead to the End of the World? | PyData Seattle 2023 | 2023-04-26 |
Argues that open data science drove rapid adoption by lowering barriers, cites partnerships with Snowflake Microsoft Azure and Oracle, and names Pi script (a… | ||
| Keynote – Peter Wang | PyCon US 2022 | 2022-04-27 |
Announcement of a concrete project: a CPython build targeting WebAssembly that runs PyScript apps entirely client‑side with NumPy Pandas and scikit‑learn via… | ||
| Q&A with the CEO of Anaconda | PyData Austin 2019 | 2019-12-07 |
Origins story of a 2012 workshop that led to the creation of the Anaconda distribution and the package manager conda, a concrete build that largely works and… | ||
| Values-based OSS Open Discussion | PyData Austin 2019 | 2019-12-07 |
Argues that the real issue is concrete: cloud vendors relicense or slot their APIs under familiar names (example: TensorFlow reworking NumPy APIs, Amazon/Redis… | ||
| State of Data Science & Machine Learning | The Fifth Elephant 2019 | 2019-07-25 |
Claims that packaging and tooling drove Python's adoption for data science supported by concrete projects and usage numbers: a self-contained Conda packaging… | ||
| Why data privacy is critical for robust data management? | The Fifth Elephant 2019 | 2019-07-25 |
Argues that data is radioactive waste: collect less, expire what you store, and avoid copying raw stores by running algorithms where data lives; demonstrates… | ||
| Keynote: How Open Data Science Opens the World of Innovation | PyData DC 2016 | 2016-10-07 |
Claims that up to 20% of servers will run machine learning, that FPGA in-package acceleration arrives for deep learning, and that 3D cross point Optane cuts… | ||
| Keynote: Python for Pythonistas | PyData San Francisco 2016 | 2016-08-12 |
PyData SF 2016 marks the 20th meeting and roughly 230 talks over four years while Python adoption accelerates into deep learning, scientific computing and… | ||
| interviewed at – Peter Wang | Strata Conference 2014 | 2014-02-11 |
Company starts January 2012 and shifts in year two from community-building to shipping products and customer work, backed by DARPA funding; conferences grow… | ||
| nothing matches | ||