basic-python-data-structures

Description:

This collection of Python scripts focuses on implementing fundamental data structures: linked lists, queues, and stacks. Each script provides a clear and practical approach to understanding these essential concepts, which are crucial for efficient data management and manipulation in programming.

1. linked_list.py

The linked_list.py script implements a linked list data structure, which consists of nodes that contain data and pointers to the next node in the sequence. This structure allows for dynamic memory allocation and efficient insertion and deletion operations. The script includes methods for adding, removing, and traversing nodes, making it a foundational example for understanding how linked lists operate and their advantages over traditional array-based structures.

2. queue.py

The queue.py script demonstrates the implementation of a queue using a linked list. A queue is a linear data structure that follows the First In First Out (FIFO) principle, meaning that the first element added to the queue will be the first one to be removed. This script includes methods for enqueueing (adding) and dequeueing (removing) elements, as well as checking the size of the queue. By using a linked list for this implementation, the script showcases how queues can efficiently manage data without the limitations of fixed-size arrays.

3. stack.py

The stack.py script implements a stack data structure, which operates on the Last In First Out (LIFO) principle. In a stack, the most recently added element is the first to be removed. This script provides methods for pushing (adding) and popping (removing) elements, as well as checking the top element of the stack. The stack implementation highlights the utility of linked lists in managing data dynamically, allowing for efficient memory usage and flexibility in operations.

Conclusion

Together, these scripts provide a comprehensive overview of linked lists, queues, and stacks in Python. They serve as practical examples for developers and students to understand the underlying principles of these data structures, their implementations, and their applications in real-world programming scenarios. By mastering these concepts, users can enhance their problem-solving skills and improve their ability to design efficient algorithms.

Features:

• LinkedList
• Queue
• Stack

Requirements:

Python Interpreter

Instructions:

Run in the Python Shell or CLI