Algorithm - Breadth First Search(BFS) - Python(3)
Problem Definition Understand and implement BFS in Python Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root (or some arbitrary node of a graph, sometimes referred to as a 'search key'[1]), and explores all of the neighbor nodes at the present depth prior to moving on to the nodes at the next depth level. Python Code graph = { '1' : ['2','3'], '2' : ['4', '5'], '3' : ['6'], '4' : ['7'], '5' : ['6'], '6' : [], '7' : ['8'], '8' : [] } queued_nodes = [] visited_nodes = [] def bfs(visited_nodes, graph, node): print ("Following represent graph traverse for node: " + node) visited_nodes.append(node) queued_nodes.append(node) while queued_nodes: q = queued_nodes.pop(0) print (q, end = " ") for neighbour_node in graph[q]:...