Mike McCarty
Employers on the program
- 2024–2025NVIDIA3 talks
- 2019Capital One1 talk
Appearances by year
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 21, 2025 | PyData Vermont 2025 | PyData | tutorial | GPU-Accelerated Data Science for PyData Users as NVIDIA In this introductory hands-on tutorial, participants will learn how to accelerate their data workflows with [RAPIDS](https://docs.rapids.ai/), an open-source…Show lessIn this introductory hands-on tutorial, participants will learn how to accelerate their data workflows with [RAPIDS](https://docs.rapids.ai/), an open-source suite of libraries designed to leverage the power of NVIDIA GPUs for end-to-end data pipelines. | Video |
| Apr 18, 2025 | PyData Virginia 2025 | PyData | tutorial | Getting Started with RAPIDS: GPU-Accelerated Data Science for PyData Users as NVIDIA In this introductory hands-on tutorial, participants will learn how to accelerate their data workflows with [RAPIDS](https://rapids.ai/), an open-source suite…Show lessIn this introductory hands-on tutorial, participants will learn how to accelerate their data workflows with [RAPIDS](https://rapids.ai/), an open-source suite of libraries designed to leverage the power of [NVIDIA](https://www.nvidia.com/) GPUs for end-to-end data pipelines. | Video |
| Nov 6, 2024 | PyData NYC 2024 | PyData | tutorial | GPU Accelerated Python as NVIDIA Accelerating Python using the GPU is much easier than you might think. We will explore the powerful CUDA-enabled Python ecosystem in this tutorial through…Show lessAccelerating Python using the GPU is much easier than you might think. We will explore the powerful CUDA-enabled Python ecosystem in this tutorial through hands-on examples using some of the most popular accelerated scientific computing libraries. | Video |
| Nov 4, 2019 | PyData New York City 2019 | PyData | panelist | Panel Discussion: Pitching Open Source Up Your Management Chain as Capital One Open source tools are critical to data science across a range of industries. Engaging with the community can be beneficial for everyone, but sometimes you have…Show lessOpen source tools are critical to data science across a range of industries. Engaging with the community can be beneficial for everyone, but sometimes you have to convince your management of that! |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Chris Fonnesbeck | 3 | — | 2025 |
| Naty Clementi | 2 | 2 | 2025 |
| Gil Forsyth | 2 | 1 | 2024 |
| Deepyaman Datta | 2 | — | 2024 |
| James Powell | 2 | — | 2024 |
| Thomas J. Fan | 2 | — | 2024 |
| Jacob Tomlinson | 1 | 1 | 2024 |
| Katrina Riehl | 1 | 1 | 2024 |
| David Palaitis | 1 | 1 | 2019 |
| Kevin Fleming | 1 | 1 | 2019 |
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.