DSA Python 2025 - Introduction to Graphs | Nodes, Edges, Cycles, Weighted Graphs - Part 117 [Hindi]

Publicado em: 20 Maio 2025
no canal de: Code and Debug
6,139
145

🚀 Welcome to Part 117 of Code & Debug’s DSA Python Course!

In this lecture, we dive into the basics of Graph Data Structures. If you're new to graphs, this video will give you the perfect foundation before jumping into traversal and pathfinding algorithms.

📚 What you’ll learn in this video:
✅ What are graphs, nodes (vertices), and edges
✅ Difference between directed and undirected graphs
✅ What are weighted vs unweighted graphs
✅ Understanding cyclic and acyclic structures
✅ Common types: DAGs, Trees as graphs, and real-life applications

💡 Why is this important?
Graphs are one of the most powerful and frequently used data structures in competitive programming, interviews, and real-world systems like maps, networks, dependency management, and social graphs. A strong foundation is essential to master algorithms like DFS, BFS, Dijkstra, Topological Sort, and MST.

👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order):
🔗 https://docs.google.com/spreadsheets/...

👉 Enroll in this FREE DSA Python course here:
🔗 https://codeanddebug.in/course/master...

👉 Enroll for Self-Paced Advanced DSA course here:
🔗 https://codeanddebug.in/course/zero-t...

🙏 Thank you for supporting Code & Debug! Don’t forget to like, share, and subscribe to our channel. Hit the 🔔 bell icon to stay updated with our latest lectures.

#GraphDSA #GraphBasics #IntroductionToGraphs #DSAPythonCourse #CodeAndDebug #DSA2025 #NodesAndEdges #GraphTheory #Part117 #PythonDSA #CodingInterviews


Nesta página do site você pode assistir ao vídeo on-line DSA Python 2025 - Introduction to Graphs | Nodes, Edges, Cycles, Weighted Graphs - Part 117 [Hindi] duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário Code and Debug 20 Maio 2025, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 6,139 vezes e gostou 145 espectadores. Boa visualização!