Using the `xl` function, you can load connected data into a Pandas DataFrame, seamlessly combining Excel’s familiar interface with Python’s advanced analytical tools.

Python offers robust functionality for complex data manipulations but requires coding expertise, while Power Query simplifies tasks with a drag-and-drop interface and automated workflows.

As a general-purpose language, Python has an advantage over R, Khalusova said. Python is more production-friendly, and it's easier to learn -- both for beginners and those who switch to it from other ...

Python is great because it includes an interactive mode for learning the language and quickly testing out code ideas. IPython ...

Data handling for energy system optimisation models is a necessary but tedious task. Depending on the workflow, user skill level, and model implementation, the data interfacing requirements can be ...

It’s also possible to interface with Python code by way of the PyCall library, and even share data between Python and Julia. Julia supports metaprogramming.