Introduction to Linked List | Data Structures & Algorithms
Welcome to this comprehensive tutorial on implementing linked lists in Python. In this video, we dive deep into a practical implementation of a singly linked list, covering key operations and algorithms. The provided Python code defines a Node class and a LinkedList class with essential methods.
🔗 Node Class:
The foundation of our linked list, the Node class, is responsible for holding data and pointing to the next node in the sequence.
📜 LinkedList Class Methods:
Print List:
Displays the elements of the linked list.
Append:
Adds a new node with given data to the end of the linked list.
Delete:
Removes the first occurrence of a node with the specified data.
Insert at Position:
Inserts a new node with given data at a specified position in the linked list.
Delete at Position:
Removes the node at the specified position in the linked list.
Reverse:
Reverses the order of nodes in the linked list.
Detect Cycle:
Determines if the linked list contains a cycle.
🧠 Key Concepts Covered:
Node creation and linking.
Appending, deleting, and inserting nodes.
Reversing the linked list.
Detecting cycles using Floyd's Tortoise and Hare algorithm.
🚀 Explore the World of Linked Lists with Python:
Gain a solid understanding of linked list operations and algorithms.
Enhance your problem-solving skills in Python.
👩💻 Code Repository:
https://github.com/ishaansharma7/sing...
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👉 Timestamps:
0:00 - Introduction
0:52 - Node Class
1:25 - LinkedList Class
1:45 - Append function
3:37 - print/traverse linked list
5:24 - delete function
8:20 - insert at position
11:30 - delete at position
8:45 Operations and Algorithms
14:54 - reverse linked list
16:46 - detect cycle
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🚨 Important Note: Understanding the basics of linked lists is crucial for any programmer. Whether you're a beginner or looking to refresh your skills, this video is tailored for you.
Let's master linked lists together! 💻🔗 #Python #LinkedLists #DataStructures
