Lazy Programming Series – List & Dictionary

In Python, a list is a versatile and widely used data structure that allows you to store and manipulate a collection of items. Lists are mutable, meaning you can modify their elements by adding, removing, or updating values. Each element in a list can be of any data type, and a list can contain a mix of different data types.

Here’s a basic example of a Python list:

In this example, my_list contains integers, a string, and a floating-point number.

Python provides several built-in functions for working with lists. Some commonly used list functions include:

len(): Returns the number of elements in a list.

append(): Adds an element to the end of the list.

insert(): Inserts an element at a specified position in the list.

remove(): Removes the first occurrence of a specified value from the list.

pop(): Removes and returns the element at a specified index. If no index is provided, it removes and returns the last element.

index(): Returns the index of the first occurrence of a specified value in the list.

count(): Returns the number of occurrences of a specified value in the list.

sort(): Sorts the elements of the list in ascending order. You can use the reverse parameter to sort in descending order.

reverse(): Reverses the order of the elements in the list.

These are just a few examples of the functions you can use with Python lists. Lists and their associated functions provide a flexible way to work with collections of data in Python.

Dictionary:

In Python, a dictionary is a built-in data type that allows you to store and retrieve key-value pairs. It is a flexible and powerful data structure that is commonly used for tasks like indexing, mapping, and organizing data. Here are some basic operations and functions associated with dictionaries in Python: