Leetcode 797: All Paths from Source to Target | DFS Graph in Telugu | Python DSA | srkcodes |

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Welcome back to srkcodes! In this Telugu coding tutorial (Day 117), we solve Leetcode 797: All Paths from Source to Target, a key DSA interview question on Graphs using DFS traversal in Python.

🔍 What You’ll Learn in This Video:
1️ ⃣ What is a Directed Acyclic Graph (DAG)?
2️ ⃣ How to find all paths from source (0) to target (n-1)
3️ ⃣ Implementing Depth First Search (DFS) recursively
4️ ⃣ Time & Space Complexity analysis
5️ ⃣ Real-world use-cases of this pattern in software development tutorials

💡 Key Takeaways:
Learn how recursion and DFS help in traversing all paths
Understand graph representation using adjacency list
Explore backtracking and recursion in Python
Strengthen your skills for tech career prep and coding interviews
Master concepts crucial for problem solving in graphs

💬 Challenge for Viewers:
Can you convert this DFS approach into BFS and return all paths? Try and share your solution in the comments!

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🔗 External Study Resources for Deep Dive:
📝 Problem discussed in the videhttps://leetcode.com/problems/all-paths-from-source-to-target/description/-pat...

📚 Topic's ⬇ ️
Ghttps://www.w3schools.com/dsa/dsa_theory_graphs.phpsa_the...

💡 LeetCode prohttps://leetcode.com/problem-list/graph/list/graph/




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