Pavithra Eswaramoorthy
Employers on the program
- 2023–2025Quansight12 talks
Appearances by year
- PyData
- SciPy Conference (Scientific Computing with Python)
- JupyterCon
- PyCon (national Python conferences)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| May 14, 2025 | PyCon US 2025 | PyCon (national Python conferences) | speaker | Inclusive Data for 1.3 Billion: Designing Accessible Visualizations as Quansight According to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1…Show lessAccording to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1 in 5 individuals) have vision impairment. | Video |
| Apr 23, 2025 | PyCon DE & PyData 2025 | PyData | talk | Inclusive Data for 1.3 Billion: Designing Accessible Visualizations as Quansight According to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1…Show lessAccording to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1 in 5 individuals) have vision impairment. | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | tutorial | Data of an Unusual Size (2024 edition): A practical guide to analysis and interactive visualization of massive datasets as Quansight While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation…Show lessWhile most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation where your laptop doesn't have quite enough power to do the analytics you need. In this hands-on tutorial, you will learn the fundamentals of analyzing massive datasets with real-world examples on actual powerful machines on a public... | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | tutorial | From RAGs to riches: Build an AI document inquiry web-app as Quansight As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical…Show lessAs we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical use case. Retrieval-Augmented Generation (RAG) is a technique to share relevant context and external information (retrieved from vector storage) to LLMs, thus making them more powerful and accurate. | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | tutorial | Interactive data visualizations with Bokeh (in 2024) as Quansight Bokeh is a library for interactive data visualization. You can use it with Jupyter Notebooks or create standalone web applications, all using Python. | |
| Apr 22, 2024 | PyCon DE & PyData Berlin 2024 | PyData | tutorial | Build an AI Document Inquiry Chat with Offline LLMs as Quansight As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical…Show lessAs we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical use case. | |
| Nov 1, 2023 | PyData NYC 2023 | PyData | tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets as Quansight While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation…Show lessWhile most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation where your laptop doesn't have quite enough power to do the analytics you need. | Video |
| Nov 1, 2023 | PyData NYC 2023 | PyData | speaker | From RAGs to riches: Build an AI document interrogation app in 30 mins as Quansight As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document interrogation systems have emerged as a high value…Show lessAs we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document interrogation systems have emerged as a high value practical use case. | Video |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | speaker | Community-first open source: An action plan! as Quansight Communities are at the heart of open source software and are fundamental to our projects’ long-term success. The Python ecosystem has several mature projects,…Show lessCommunities are at the heart of open source software and are fundamental to our projects’ long-term success. The Python ecosystem has several mature projects, that have spent years working on community initiatives. | |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets as Quansight While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation…Show lessWhile most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation where your laptop doesn't have quite enough power to do the analytics you need. In this hands-on tutorial, you will learn the fundamentals of analyzing massive datasets with real-world examples on actual powerful machines on a public... | |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | tutorial | Interactive data visualization with Bokeh as Quansight Bokeh is a library for interactive data visualization. You can use it with Jupyter Notebooks or create standalone web applications, all using Python. | |
| May 10, 2023 | JupyterCon 2023 | JupyterCon | speaker | Community-first open source: An action plan! as Quansight The open source software ecosystem has multiple mature projects with thriving communities. These communities come many different flavors but there is always a…Show lessThe open source software ecosystem has multiple mature projects with thriving communities. These communities come many different flavors but there is always a common thread of promoting kindness in communication, improving the contributor and user experience, and working to make the project more... |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Cheuk Ting Ho | 4 | — | 2025 |
| Patrick Hoefler | 4 | — | 2025 |
| Dharhas Pothina | 3 | 6 | 2024 |
| Tania Allard | 3 | 1 | 2024 |
| Alex Monahan | 3 | — | 2025 |
| Alexander CS Hendorf | 3 | — | 2025 |
| Ines Montani | 3 | — | 2025 |
| Marco Gorelli | 3 | — | 2025 |
| Sanket Verma | 3 | — | 2025 |
| Valerio Maggio | 3 | — | 2025 |
| Gil Forsyth | 3 | — | 2024 |
| Matthew Rocklin | 3 | — | 2024 |
| Bryan Van de Ven | 2 | 2 | 2024 |
| Timo Metzger | 2 | 2 | 2024 |
| Alexander Fischer | 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.