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Depth First Search Python Implementation : Prints all the nodes of the graph
def depth_first_search(graph, start_node):
visited_neighbours = set() #Keep track of the node we have visited like breadcrumbs to know the path
neighbours = [start_node] #list to store the neighbors. We will start with neigbors of void, the start node
while (len(neighbours) != 0): #All the elements will be transversed by the time we have this list size as zero
neighbour = neighbours.pop() #pop will take out randomly any one element and deletes from the list
if neighbour not in visited_neighbours:
new_prospected_neighbours = graph[neighbour]
#Need to remove neighbours which are already visted
new_neighbours = new_prospected_neighbours - visited_neighbours
return visited_neighbours
depth_first_search(graph, 'A')
#output: {'A', 'B', 'C', 'D', 'E', 'F', 'G'}
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