Description:
Data structure with Python is a comprehensive course that introduces the fundamental concepts of data structures using the Python programming language. This course is designed for beginners and covers various data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Through hands-on exercises and practical examples, you will learn how to efficiently store and manipulate data in different data structures using Python.
Key Highlights:
- Learn the basic concepts and principles of data structures
- Understand the implementation and usage of arrays, linked lists, stacks, and queues
- Explore advanced data structures like trees and graphs
- Gain practical experience through coding assignments and projects
What you will learn:
- Introduction to Data Structures:
Get an overview of data structures and their significance in computer science. Understand the basics of memory management and time complexity analysis.
- Arrays:
Learn how to work with one-dimensional and multi-dimensional arrays. Understand array operations, searching, sorting, and dynamic arrays.
- Linked Lists:
Explore singly linked lists, doubly linked lists, and circular linked lists. Learn operations like insertion, deletion, searching, and traversal.
- Stacks and Queues:
Understand the principles of stacks and queues. Implement basic stack and queue operations and explore applications in solving real-world problems.
- Trees:
Study binary trees, binary search trees, and AVL trees. Learn tree traversal algorithms, tree balancing techniques, and applications of trees.
- Graphs:
Discover graph representation, traversal algorithms like BFS and DFS, and various graph algorithms like Dijkstra's algorithm and minimum spanning tree.
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