"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."
"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."
"I chose Python for its simplicity and extensive library support. It's preferred over alternatives for its readability, community support, and versatility in various development tasks."
"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?"
"Special thanks to Python for its robust and efficient data processing capabilities which processed complex graphs and visualizations quickly using our specialized internal libraries. Python's versatility has been instrumental in powering ChartFast."