Explanation

- Depth First Search (DFS) is a searching algorithm used in graph or tree data structures. It starts from a given node and explores as far as possible along each branch before backtracking. DFS is implemented using recursion or a stack.

-

Steps:

• Start from a node (typically the root node or any arbitrary node).
• Mark the node as visited.
• Visit its adjacent nodes that have not been visited yet.
• This process continues recursively or using a stack, visiting each node until all nodes are explored.
• If a node has already been visited, it is not revisited.

Time Complexity:

• For a graph with V vertices and E edges, the time complexity of DFS is O(V + E).

def dfs(graph, node, visited=None):
    if visited is None:
        visited = set()  # Set to keep track of visited nodes
    
    visited.add(node)
    print(node)  # Print the node as we visit it
    
    for neighbor in graph[node]:
        if neighbor not in visited:
            dfs(graph, neighbor, visited)  # Recursively visit unvisited neighbors
 
# Example graph
graph = {
    'A': ['B', 'C'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B'],
    'E': ['B', 'F'],
    'F': ['C', 'E']
}
 
# Call DFS starting from node 'A'
dfs(graph, 'A')