AmitDiwan

AmitDiwan

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Python program to delete a new node from the end of the doubly linked list

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 592 Views

A doubly linked list is a data structure where each node contains three components: data, a pointer to the next node, and a pointer to the previous node. To delete a node from the end, we need to update the tail pointer and handle edge cases properly. Node Class Structure First, we create a Node class to represent individual elements in the doubly linked list ? class Node: def __init__(self, my_data): self.prev = None self.data = ...

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Python program to delete a new node from the beginning of the doubly linked list

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 405 Views

When you need to delete a node from the beginning of a doubly linked list, you must create a Node class with three attributes: the data, a pointer to the next node, and a pointer to the previous node. This operation involves updating the head pointer and adjusting the previous pointer of the new head node. Node Class Structure First, let's define the Node class and the doubly linked list structure ? class Node: def __init__(self, my_data): self.prev = None ...

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Python program to create and display a doubly linked list

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 893 Views

A doubly linked list is a data structure where each node contains data and two pointers - one pointing to the next node and another to the previous node. This allows traversal in both directions. Node Class Structure First, we create a Node class that represents individual elements in the doubly linked list ? class Node: def __init__(self, my_data): self.prev = None self.data = my_data self.next = None ...

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Python program to create a doubly linked list of n nodes and display it in reverse order

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 309 Views

A doubly linked list is a data structure where each node contains data and pointers to both the next and previous nodes. To create and reverse a doubly linked list, we need to define a Node class and a list class with methods for adding nodes and reversing the order. Node Class Structure The Node class contains three attributes: data, next pointer, and previous pointer ? class Node: def __init__(self, my_data): self.prev = None self.data = ...

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Python program to create a doubly linked list of n nodes and count the number of nodes

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 223 Views

A doubly linked list is a data structure where each node contains three components: data, a pointer to the next node, and a pointer to the previous node. This allows traversal in both directions. To count the nodes, we traverse the list from head to tail and increment a counter. In a doubly linked list, the first node's previous pointer is None, and the last node's next pointer is None. This bidirectional linking makes it more flexible than a singly linked list. Node Class Structure First, we create a Node class to represent individual nodes ? ...

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Python program to convert a given binary tree to doubly linked list

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 283 Views

When it is required to convert a given binary tree to a doubly linked list, a Node class needs to be created. In this class, there are two attributes: the data that is present in the node, and pointers to the left and right nodes. A binary tree is a non-linear data structure which contains one root node, and every node can have at most two children. In a doubly linked list, nodes have pointers to both the next and previous nodes, allowing traversal in both directions. The conversion follows an in-order traversal approach, where we visit left ...

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Python program to sort the elements of the Circular Linked List

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 328 Views

A Circular Linked List is a data structure where the last node points back to the first node, forming a circle. To sort elements in a circular linked list, we need to create a Node class and implement sorting algorithms. In a circular linked list, unlike regular linked lists, there's no NULL value at the end. Instead, the tail node connects back to the head, creating a continuous loop. Node Class Structure First, we define a Node class to represent individual elements ? class Node: def __init__(self, data): ...

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Python program to search an element in a Circular Linked List

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 460 Views

When it is required to search for an element in a circular linked list, a Node class needs to be created. In this class, there are two attributes: the data that is present in the node, and the access to the next node of the linked list. In a circular linked list, the head and the rear are adjacent to each other. They are connected to form a circle, and don't have NULL value in the last node. Another class needs to be created that would have an initialization function, and the head of the node would be initialized ...

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How to get unique elements in nested tuple in Python

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 2K+ Views

When working with nested tuples, you often need to extract unique elements from all inner tuples. Python provides several approaches to achieve this using sets, loops, and built-in functions. A set is a built-in Python data type that automatically stores only unique elements. It's perfect for removing duplicates and performing operations like union, intersection, and difference. Using Nested Loops with Set This approach manually iterates through each tuple and tracks unique elements ? my_tuples = [(7, 8, 0), (0, 3, 45), (3, 2, 22), (45, 12, 9)] print("The list of tuples is:") print(my_tuples) ...

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Multiply Adjacent elements in Python

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 827 Views

When it is required to multiply adjacent elements, the zip() method, the tuple() method, and generator expressions can be used. The zip() method takes iterables, aggregates them into a tuple, and returns it as the result. Generator expressions provide a simple way of creating iterators that automatically implement __iter__() and __next__() methods. Basic Example Here's how to multiply adjacent elements in a tuple ? my_tuple = (7, 8, 0, 3, 45, 3, 2, 22) print("The tuple is:") print(my_tuple) my_result = tuple(i * j for i, j in zip(my_tuple, my_tuple[1:])) print("The tuple after ...

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