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.

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

Learn how to work with date and time values using Python's datetime library, and how to avoid some of the gotchas and pitfalls of the datetime datatype.