Linked List Implementation in Python
In the world of data structures, linked lists are a fundamental linear data structure, similar to arrays. They are a collection of nodes that are linked with each other, and in Python, they form a key part of the Python-DSA package.
The main developer behind Python-DSA is Sagar Mali. He has created a variety of linked list types, each with its own advantages and uses based on problem requirements. These include Singly Linked Lists, Doubly Linked Lists, Circular Linked Lists, and more.
Each node in a linked list contains two things: first is data, and second is a link that connects it with another node. The Node class has been created for initializing a node with data passed as an argument. The Node class initializes a reference with None, indicating that there is nothing in its reference if a linked list has only one node.
One of the key operations that can be performed on a linked list is insertion. This can be done at the start, at a specific position, or even at the end of the list. Deletion of specific keys, nodes, or the entire list is also possible.
Another important operation is searching for a specific element in a Linked List. This can be done efficiently, making it useful for many real-world applications. The size of a linked list can be calculated, and the length can be determined as well.
One of the unique features of linked lists is the ability to find the Nth node from the start or the end of the list. This can be particularly useful in various algorithms and problem-solving scenarios.
Finally, a linked list can be printed to visualize its structure and contents. This can be a powerful tool for debugging and understanding the behaviour of linked lists in different scenarios.
In conclusion, linked lists are a versatile and essential data structure in Python-DSA. They offer a range of operations that make them suitable for a variety of problems, and their ability to be used in different forms makes them a valuable tool in any programmer's toolkit.
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