A little off-topic, but I've built a small backend server in Node.js and Tensorflow.js to run a previously Pyhton-built model and was amazed by how performant a

A little off-topic, but I've built a small backend server in Node.js and Tensorflow.js to run a previously Pyhton-built model and was amazed by how performant and non blocking it runs. The model can do around 10k predictions/s and does it with async, which allows Node to respond to web requests in the meanwhile. I guess it's a matter of using the right tool for the task, whenever possible, Python for data science, Nodejs for a web backend.