SymPy operates on symbols the way a numeric calculator or regular Python program works on numbers. For graphing, NumPy offers a more concise way of defining equations, similar to how you'd work ...

On the other hand, PyXLL-Jupyter operates locally, on your device. This gives you total control over your Python environment and data.

Microsoft's separate Jupyter notebooks extension aims to improve support for Python's programming language rivals.

The code in Jupyter Notebook notebooks is typically Python code, although you may add support in your Jupyter environment for other languages such as R or Julia.

In the regular monthly update to Python tooling for Visual Studio Code, Microsoft announced an improved setup experience for Jupyter notebooks, along with new inlay type hints for the Pylance language ...