Python is renowned for its extensive standard library, which provides a wealth of tools and data structures to simplify programming tasks. Among these, the collection-related modules offer a diverse range of options to manage and manipulate data effectively.
In this article, we’ll dive into the world of Python collections, exploring the various types available in the standard library and popular frameworks, and how you can leverage them to streamline your code.
Python’s Built-in Collection Types
Lists
Lists are the most versatile and widely used collection type in Python. They can store elements of different data types and provide a range of methods for adding, removing, and manipulating items. Here’s a simple example:
# Creating a list
my_list = [1, 2, 3, 'four', 5.0]
# Accessing elements
print(my_list[0]) # Output: 1
print(my_list[-1]) # Output: 5.0
# Adding and removing elements
my_list.append(6)
my_list.remove('four')
