Working With Linked Lists in Python
Working With Linked Lists in Python Free Tutorial Download
Linked lists are like a lesser-known cousin of lists. They’re not as popular or as cool, and you might not even remember them from your algorithms class. But in the right context, they can really shine.
In this article, you’ll learn:
- What linked lists are and when you should use them
- How to use
collections.deque
for all of your linked list needs - How to implement your own linked lists
- What the other types of linked lists are and what they can be used for
If you’re looking to brush up on your coding skills for a job interview, or if you want to learn more about Python data structures besides the usual dictionaries and lists, then you’ve come to the right place!
You can follow along with the examples in this tutorial by downloading the source code available at the link below:
Get the Source Code: Click here to get the source code you’ll use to learn about linked lists in this tutorial.
Understanding Linked Lists
Linked lists are an ordered collection of objects. So what makes them different from normal lists? Linked lists differ from lists in the way that they store elements in memory. While lists use a contiguous memory block to store references to their data, linked lists store references as part of their own elements.
Main Concepts
Before going more in depth on what linked lists are and how you can use them, you should first learn how they are structured. Each element of a linked list is called a node, and every node has two different fields:
- Data contains the value to be stored in the node.
- Next contains a reference to the next node on the list.
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