In today’s competitive IT industry, Data Structures and Algorithms (DSA) are the foundation for cracking technical interviews and becoming a strong software developer. At Vagdevi Technologies, Ameerpet, we offer a comprehensive DSA with Python course designed for students, freshers, and working professionals.
We provide online and offline classes, well-equipped lab facilities, and placement guidance to help you build a successful career in software development.
Course Highlights
✅ Python-based DSA curriculum
✅ Online & Offline Training (Ameerpet)
✅ Hands-on Lab Availability
✅ Real-time Coding Practice
✅ Interview-Oriented Training
✅ Placement Assistance & Guarantee*
DSA with Python – Course Content
1. Python Programming Fundamentals
Introduction to Python
Variables, Data Types, and Operators
Control Statements (if, for, while)
Functions & Recursion
Lists, Tuples, Sets, Dictionaries
String Manipulation
File Handling
Exception Handling
2. Time & Space Complexity
Why Complexity Analysis is Important
Big-O, Big-Ω, Big-Θ Notations
Best, Average & Worst Case Analysis
Complexity Analysis of Python Code
3. Arrays & Strings
One-Dimensional & Two-Dimensional Arrays
Array Operations & Applications
String Algorithms
Problem Solving on Arrays & Strings
4. Searching Algorithms
Linear Search
Binary Search
Applications of Searching
Python Implementation & Practice Problems
5. Sorting Algorithms
Bubble Sort
Selection Sort
Insertion Sort
Merge Sort
Quick Sort
Heap Sort
Comparison of Sorting Techniques
6. Recursion & Backtracking
Understanding Recursion
Recursive Problem Solving
Backtracking Concepts
Classic Problems (N-Queens, Subsets, Permutations)
7. Linked Lists
Singly Linked List
Doubly Linked List
Circular Linked List
Operations & Applications
Interview-Based Problems
8. Stack & Queue
Stack Operations & Applications
Infix, Prefix, Postfix Expressions
Queue & Circular Queue
Deque (Double Ended Queue)
9. Hashing
Hash Tables & Hash Functions
Collision Handling Techniques
Dictionary Implementation in Python
Real-Time Use Cases
10. Trees
Tree Terminologies
Binary Trees
Binary Search Trees (BST)
Tree Traversals (Inorder, Preorder, Postorder)
Applications of Trees
11. Heaps & Priority Queues
Min Heap & Max Heap
Heap Operations
Priority Queue Implementation
Practical Examples
12. Graphs
Graph Representation (Adjacency List & Matrix)
BFS & DFS
Shortest Path Algorithms
Applications of Graphs
13. Greedy Algorithms
Greedy Strategy
Classic Greedy Problems
Python Implementations
14. Dynamic Programming
Introduction to DP
Memoization & Tabulation
Common DP Problems
Optimization Techniques
15. Interview Preparation & Practice
Coding Interview Questions
Mock Interviews
Resume Preparation
Placement-Oriented Problem Solving
Why Choose Vagdevi Technologies?
📍 Located in Ameerpet, Hyderabad
🧑🏫 Experienced Real-Time Trainers
💻 Fully Equipped Lab Facilities
🎓 Online & Offline Learning Options
💼 Placement Guarantee & Support
Contact VAGDEVI TECHNOLOGIES
Call: 95 1590 1571,91 3375 7367
Email: vagdevitechnologies@gmail.com
Website: www.vagdevitechnologies.com
