What are the different types of Collections in Python

Sure! In Python, there are several types of collections that can be used to store multiple values. Here are the different types of collections in Python:

1. Lists: Lists are ordered and mutable collections that can store multiple values of different data types. They are defined using square brackets [] and elements are separated by commas.

2. Tuples: Tuples are ordered and immutable collections that can store multiple values of different data types. They are defined using parentheses () and elements are separated by commas.

3. Sets: Sets are unordered and mutable collections that can store unique values. They are defined using curly braces {} or the set() function.

4. Dictionaries: Dictionaries are unordered and mutable collections that store key-value pairs. Each key is unique and associated with a value. They are defined using curly braces {} and elements are separated by commas. Keys and values are separated by a colon (:).

These are the main types of collections in Python. Each type has its own characteristics and is used for different purposes depending on the requirements of the program.