Abstract: Static type inference is an effective way to maintain the safety of programs written in a dynamically typed language. However, foreign functions implemented in another programming language ...

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.

Abstract: Incorporating reliability constraints in economic dispatch is challenging considering massive system states resulting from random component failures and renewable energy (RE) uncertainties.

I am working on orchestrating agents in different strategies as described in the semantic kernel (Concurrent, Sequential). I want each agent in the orchestration to have their own functions dedicated ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Python is best thought of as a dynamic but strongly typed language. Types aren’t associated with the names of things, but with the things themselves. This makes Python flexible and convenient for ...

Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model decides when to invoke a predefined function, ...