Graph Theory and it's Algorithms

Learn the concepts of Graph Theory, it's Algorithms and Implement them in Python
4.17 (12 reviews)
Udemy
platform
English
language
Other
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instructor
Graph Theory and it's Algorithms
5β€―269
students
4.5 hours
content
Apr 2023
last update
$19.99
regular price

Why take this course?


Graph Theory and its Algorithms: Master Data Structures with Python! πŸŒπŸ“š

Welcome to an enriching journey into the world of Graph Theory and its powerful algorithms, brought to you through this comprehensive online course! If you're passionate about solving complex problems or looking to deepen your understanding of advanced data structures and their applications in real-world scenarios, then this is the perfect place for you.

What You'll Learn:

Core Concepts of Graph Theory:

  • Understanding Graphs: Get to grips with what a graph is and how it functions as a versatile data structure. 🎩
  • Real-World Applications: Explore the myriad ways graphs are used to model and solve problems in various fields. 🌐
  • Graph Terminology: Learn the essential terminologies that form the building blocks of graph theory. πŸ“–
  • Types of Graphs: Dive into the different types of graphs - Weighted, Unweighted, Directed, Undirected, Cyclic, Acyclic, and more! πŸ”ΉπŸ”Έβ­•οΈ

Algorithm Mastery with Python:

  • Graph Representations: Master the two primary methods for representing graphs in Python using Adjacency List and Adjacency Matrix. πŸ€–
  • Adjacency List & Adjacency Matrix in OOPS: Implement these graph representations leveraging Object-Oriented Programming in Python. 🐍
  • Depth First Search (DFS): Discover the DFS algorithm and its implementation, including its use for Topological Sort, Sum, Max, Min problems. πŸš€
  • Breadth First Search (BFS): Learn BFS and how it's applied in various scenarios. 🌳
  • Single Source Shortest Path Problems: Understand algorithms like Dijkstra's and Bellman Ford for efficient pathfinding. πŸ—ΊοΈ
  • Minimum Spanning Trees (MST): Grasp the concept of Spanning Trees and explore the Prim's and Kruskal's algorithms to find the minimum spanning tree. 🌱

Course Features:

  • Real-World Problems: Solve problems using graph theory, enhancing your ability to apply theoretical knowledge to practical situations. 🏭
  • Hands-On Coding: Implement algorithms directly in Python, ensuring you gain both conceptual and practical experience. πŸ‘¨β€πŸ’»
  • Expert Instruction: Learn from a seasoned instructor with extensive knowledge and experience in the field of Graph Theory and Python programming. 🏫

Prerequisites:

To get the most out of this course, familiarity with Basic Data Structures and Python is highly recommended. If you're already comfortable with these concepts, you'll be well-prepared to tackle the advanced material covered in this course. πŸ•ΉοΈ

Join Us!

Embark on a transformative learning experience that will not only enhance your problem-solving skills but also expand your understanding of data structures and their applications. With Python as your tool, you'll be ready to tackle any challenge in graph theory with confidence and skill. πŸŽ“

Enroll now and take the first step towards mastering Graph Theory and its Algorithms with Python! Your journey to becoming a data structure expert starts here. Let's connect, code, and conquer the world of graphs together! πŸš€πŸ’»βœ¨

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4768600
udemy ID
06/07/2022
course created date
12/07/2022
course indexed date
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