Python is also preferred among ML scientists in terms of application domains. Python offers a variety of data types that let you efficiently store and manipulate data. We'll look at a few of the key ...

This code demonstrates the use of various data types and collections in Python. It covers basic data types such as strings, integers, floats, booleans, and more, along with different collection types ...

Annotating Python code allows developers to indicate data types for variables, as well as types for function arguments and return values. This practice has various benefits, one of which is using ...

This chapter will introduce you to the fundamental Python data types - lists, sets, and tuples. These data containers are critical as they provide the basis for storing and looping over ordered data.