Python Algorithms: Part 4 | Depth First Search (DFS) Explained Step by Step (Recursive & Iterative)
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Welcome to Python Algorithms - Part 4 of our Data Structures and Algorithms series.
In this video, we dive deep into Trees, Tree Traversal, and Depth-First Search (DFS) and explain everything step by step in a simple and beginner-friendly way.
Depth-First Search (DFS) is a fundamental traversal algorithm that explores a tree or graph by going as deep as possible along each branch before backtracking. We’ll understand how DFS works internally and how it can be implemented using recursion as well as iteration with a stack.
This topic is extremely important for coding interviews, competitive programming, and real-world problem solving, especially when working with trees and graphs.
What you’ll learn in this video:
What is a Tree data structure
Tree traversal overview
What is Depth-First Search (DFS)
How DFS works step by step
Recursive DFS implementation in Python
Iterative DFS using stack in Python
DFS traversal order explained clearly
Time and space complexity of DFS
If you’re following the complete Python DSA series, make sure you’ve watched Part 3 (BFS) before continuing with this lesson.
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👉 Python Algorithms – Part 3: Breadth First Search (BFS) Explained Step by Step
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