Abstract: As emerging microservice hosting platforms, serverless computing platforms are highly favour for their simplicity and high level of automation when deploying and running stateless functions.

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.

After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

The runtime offers new features for Python: an experimental async API and access to many native Python libraries like NumPy.

You can apply a Processor to any input stream and easily iterate through its output stream: The concept of Processor provides a common abstraction for Gemini model calls and increasingly complex ...

So for reasons of concurrency I rely on the async execute of the python backend. I read through all of your examples and while my solution works, I wonder what the "correct" way to do this is? I ...