Tim Paine
Employers on the program
- 2023–2026Cubist Systematic Strategies6 talks
Appearances by year
- PyData
- JupyterCon
- PyCon (national Python conferences)
- Compute!
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 25, 2026 | Compute! Paris 2026 | Compute! | speaker | nbplay: making music in notebooks as Cubist Systematic Strategies Did you know you can build a digital audio workstation inside a Jupyter notebook? In this talk, we'll use `nbplay`, an experimental notebook-based DAW, to…Show lessDid you know you can build a digital audio workstation inside a Jupyter notebook? In this talk, we'll use `nbplay`, an experimental notebook-based DAW, to explore Jupyter as a platform for mixed programmable and interactive computing. | |
| Sep 30, 2025 | PyData Paris 2025 | PyData | talk | Build a data studio in your notebook with jupyter-fs as Cubist Systematic Strategies jupyter-fs provides an interface between PyFilesystem and fsspec file systems, the JupyterLab user interface, and the Jupyter notebooks you run. | Video |
| Jun 6, 2025 | PyData London 2025 | PyData | talk | One repo to rule them all, one repo to bind them...Control all of your projects with copier! as Cubist Systematic Strategies Did you know you can control all of your projects from a central template repository? In this talk we'll learn about copier, a framework for creating project…Show lessDid you know you can control all of your projects from a central template repository? In this talk we'll learn about copier, a framework for creating project templates. | |
| Sep 25, 2024 | PyData Paris 2024 | PyData | talk | High Performance Data Visualization for the Web as Cubist Systematic Strategies Are you looking for a high performance visualization component for the web? Need to filter, sort, pivot, and aggregate static/streaming data in realtime? | |
| May 22, 2024 | PyCon Italia 2024 | PyCon (national Python conferences) | talk | High Performance Data Visualization for the Web as Cubist Systematic Strategies Are you looking for a high performance visualization component for the web? Need to filter, sort, pivot, and aggregate static/streaming data in realtime?…Show lessAre you looking for a high performance visualization component for the web? Need to filter, sort, pivot, and aggregate static/streaming data in realtime? Daunted by the massive JS ecosystem? In this talk, we'll build a high performance web frontend using the open source library Perspective. | Video |
| May 15, 2024 | PyCon US 2024 | PyCon (national Python conferences) | speaker | Building FPGA-based Machine Learning Accelerators in Python In this talk, we will demo a simple machine learning accelerator deployed on a commodity FPGA and developed using a Python-based toolchain. | Video |
| Apr 22, 2024 | PyCon DE & PyData Berlin 2024 | PyData | talk | High Performance Data Visualization for the WebIn this talk, we will put together a simple but full-featured website using Perspective. Perspective is an open source interactive analytics and data…Show lessIn this talk, we will put together a simple but full-featured website using Perspective. Perspective is an open source interactive analytics and data visualization component, which is especially well-suited for large and/or streaming datasets. | |
| Apr 22, 2024 | PyCon DE & PyData Berlin 2024 | PyData | talk | Jupyter Notebooks for Print MediaIn this talk, we will discuss leveraging Jupyter Notebooks to generate print media - books, magazine and newspaper articles, business reports, academic papers,…Show lessIn this talk, we will discuss leveraging Jupyter Notebooks to generate print media - books, magazine and newspaper articles, business reports, academic papers, etc. We will motivate the problem, introduce a library for accomplishing the task (nbprint), and walk through some end-to-end examples. | |
| May 10, 2023 | JupyterCon 2023 | JupyterCon | tutorial | Visualizing live data pipelines in JupyterLab with ipydagred3 as Cubist Systematic Strategies Dataflow graphs have become indispensable tools for data science, from ETL batch processes to live streaming data pipelines. A variety of tools exist for…Show lessDataflow graphs have become indispensable tools for data science, from ETL batch processes to live streaming data pipelines. A variety of tools exist for constructing and scheduling graphs, but few generic tools exist for visualizing them, and even fewer let you analyze and interact with them... | |
| Oct 12, 2020 | JupyterCon 2020 | JupyterCon | speaker | Production Notebooks |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Cheuk Ting Ho | 6 | — | 2025 |
| Jeremy Tuloup | 5 | — | 2026 |
| Johan Mabille | 5 | — | 2026 |
| Marco Gorelli | 5 | — | 2025 |
| Ines Montani | 4 | — | 2026 |
| Martin Renou | 4 | — | 2026 |
| Olivier Grisel | 4 | — | 2026 |
| David Brochart | 4 | — | 2025 |
| Guillaume Lemaitre | 4 | — | 2025 |
| Fernando Pérez | 3 | — | 2026 |
| Joris Van den Bossche | 3 | — | 2026 |
| Wolf Vollprecht | 3 | — | 2026 |
| Alexander CS Hendorf | 3 | — | 2025 |
| Emanuele Fabbiani | 3 | — | 2025 |
| Luca Baggi | 3 | — | 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.