Data Structure in Python

Data structures in Python are used to organize and store data in a specific format for easy access and manipulation. There are several types of data structures available in Python, each with their own advantages and use cases.

One of the most basic data structures in Python is the list. A list is an ordered collection of items, which can be of any data type. Lists are enclosed in square brackets and items are separated by commas. Lists are mutable which means you can change the elements once the list is created.

Another data structure in Python is the tuple. Tuples are similar to lists, but they are immutable, which means that the elements cannot be changed once the tuple is created. Tuples are enclosed in parentheses and items are separated by commas.

Dictionaries are another data structure in Python. They are unordered collections of key-value pairs, where each key is unique. Dictionaries are enclosed in curly braces and are used to store key-value pairs.

Sets are data structures in Python that store unordered and unique collection of items. Sets are enclosed in curly braces and are used to store unique values.

In summary, data structures in Python are used to organize and store data in a specific format for easy access and manipulation. There are several types of data structures available in Python such as lists, tuples, dictionaries and sets. Each data structure has its own advantages and use cases. Lists are mutable, Tuples are immutable, Dictionaries store key-value pairs and Sets store unique values.

In this Applied Machine Learning Recipe, the reader will learn: Data Structure in Python.