Although it's possible to create a data frame from scratch using Python data structures or NumPy arrays, it's more common in my experience to do so from a file. Fortunately, Pandas can load data from ...

In this playground I practice with libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow (et. all) with a Jupyter Notebook.

Jupyter Notebook use cases The most common use cases for Jupyter Notebook are data science, mathematics, and other research projects that involve visualizations of data or formulas.