Data Structures using Python

Data Structures using Python (Subject Code: BE04000281) — Complete notes, previous year question papers (PYQs), and important study materials for GTU Information Technology Semester 4.

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Course Overview

This course, Data Structures using Python (BE04000281), is designed for 4th-semester IT engineering students at GTU to build a fundamental understanding of organizing and managing data efficiently. Students will learn the principles behind various data structures, including arrays, linked lists, stacks, queues, trees, and graphs, and how to implement them effectively using Python. The curriculum emphasizes algorithmic efficiency, time and space complexity analysis, and practical application in problem-solving. It covers essential techniques like searching and sorting, crucial for developing robust and scalable software solutions. This subject is vital for preparing students for advanced topics in algorithm design, database management, and software development, making them proficient in writing optimized and maintainable code.

Syllabus & Important Topics

Introduction to Data Structures and Python Review
Arrays and Linked Lists
Stacks and Queues
Trees: Binary Trees, Binary Search Trees, AVL Trees
Graphs: Traversal and Shortest Path Algorithms
Hashing and Symbol Tables
Sorting and Searching Algorithms

Resource Stats

Subject CodeBE04000281
Branchit
Total Materials0 Files
Categories0

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