Python's versatility and extensive ecosystem make it ideal for AI development. Our Python SDK leverages its intuitive syntax to give AI agents programmatic control over Daytona sandboxes, enabling complex workflows with minimal code.
Building the project using Python allowed us to create very flexible solutions when implementing various APIs. Using Python likely cut down our initial development time by half.
Partly because it enabled some much more useful framework choices. Partly because it gave me an excuse to dive into some of the newer features (e.g. async) that weren’t around last time I was a 100%-full-time python dev. Mainly, though, it’s just a good language, so why not?
Python is a core technology in the toolkit of many data scientists and data engineers. They can connect with MotherDuck using the DuckDB client, run SQL on pandas dataframes and join with cloud data.
