Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.

You don't need to be a data scientist to use Pandas for some basic analysis. Traditionally, people who program in Python use the data types that come with the language, such as integers, strings, ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

The libraries we'll use in this article are NumPy, pandas, SciPy, and Pingouin. We'll also install IPython, because it's so handy for interactive use over the standard Python interpreter.

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.