Python has four basic inbuilt data structures namely Lists, Dictionary, Tuple and Set. These almost cover 80% of the our real world data structures. This article will cover the above mentioned topics. 

Above mentioned topics are divided into four sections below. 

Python comes with several inbuilt data structures that allow you to store and manipulate data in various ways. These data structures include lists, tuples, sets, and dictionaries.

Lists are ordered collections of elements that can be of any data type. They are mutable, which means you can add, remove, or modify elements within the list. Lists are created using square brackets [].

Tuples are similar to lists but are immutable, meaning you cannot modify the elements within them once they are created. Tuples are often used to group related data together. Tuples are created using parentheses ().

Sets are unordered collections of unique elements. They are useful for operations such as finding common elements between two sets, or removing duplicates from a list. Sets are created using curly braces {}.

Dictionaries are key-value pairs, where each key is unique and maps to a corresponding value. Dictionaries are useful for storing data that can be accessed quickly using a key. Dictionaries are created using curly braces {}, with key-value pairs separated by a colon (:).

Python also provides several other data structures such as deque, named tuples, and default dictionaries, among others. These inbuilt data structures make Python a powerful language for data manipulation and analysis.