
Akshay Agrawal
Co-founder and developer of Marimo, a reactive Python notebook. Previously worked at Google Brain and Stanford on machine learning research and TensorFlow.
Top 3 podcasts with Akshay Agrawal
Ranked by the Snipd community

51 snips
Apr 14, 2025 • 1h 1min
#501: Marimo - Reactive Notebooks for Python
Akshay Agrawal, co-founder and developer of Marimo, shares insights on creating a revolutionary reactive Python notebook that ensures your code and outputs remain perfectly in sync. He discusses challenges with traditional Jupyter notebooks, emphasizing the need for reproducibility in data science and software engineering. The conversation also touches on his experiences at Google Brain and Stanford, startup funding for open-source initiatives, and the innovative features of Marimo that enhance user experience and collaboration in programming.

48 snips
Jan 7, 2025 • 41min
Building the future of collaborative AI development with Akshay Agrawal
Akshay Agrawal, Co-founder and CEO of Marimo, discusses the future of collaborative AI development. He shares how Marimo's Python notebook enhances reproducibility and interactivity for AI projects, contrasting it with traditional tools like Jupyter. The conversation covers the challenges in scaling AI tools, the importance of community engagement, and innovative design principles. Akshay also explores best practices for collaborative coding, emphasizing flexibility and structure, providing insights that will benefit both developers and researchers in the AI field.

44 snips
Nov 29, 2024 • 1h 1min
marimo: Reactive Notebooks and Deployable Web Apps in Python
Akshay Agrawal, creator of the innovative marimo notebook, discusses enhancing the Python notebook experience for data scientists. He tackles common issues with traditional notebooks, such as hidden state and reproducibility, proposing a directed acyclic graph (DAG) structure for better organization. Akshay reveals how marimo notebooks are both readable and git-friendly, utilizing PEP 723 for standalone notebooks. He also illuminates their capability to be deployed as interactive web apps, revolutionizing how data scientists collaborate and share their work.