Building Better APIs

Jeremy emphasizes the importance of creating internal APIs that serve as the foundation for larger systems. He shares his journey of striving for perfection in the Transforms API, undergoing numerous rewrites until achieving satisfaction. The conversation also touches on the integration of Jupyter notebooks as a means to combine documentation, code, and exploration, enhancing the overall software development experience.

In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Related Questions
- How can a browser-based notebook help in data analysis and programming in the context of the episode "Building the future of collaborative AI development with Akshay Agrawal" and the clip "Notebook Evolution"?
- How can a browser-based notebook help in data analysis and programming in the context of the episode Building the future of collaborative AI development with Akshay Agrawal and the clip Notebook Evolution?

Building Better APIs

In this clip

From this podcast

Gradient Dissent - A Machine Learning Podcast

Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

Related Questions

How can a browser-based notebook help in data analysis and programming in the context of the episode "Building the future of collaborative AI development with Akshay Agrawal" and the clip "Notebook Evolution"?

How can a browser-based notebook help in data analysis and programming in the context of the episode Building the future of collaborative AI development with Akshay Agrawal and the clip Notebook Evolution?