Python supports a variety of data types such as numeric (integers, floats, complex), string, boolean, list, tuple, and dictionary. Each data type has its own unique set of properties and methods.

Data types are the concept you should be familiar with. This means you should know the most commonly used data types in Python, the difference between them, when and how to use them.

Monkeytype sweeps them away with automatically generated type hints. 5 newer data science tools you should be using with Python There’s more to Python data science than NumPy and Pandas.