Create Dijkstra’s Algorithm (Shortest Path in Weighted Graph).py

Dijkstra’s Algorithm (Shortest Path in Weighted Graph).py

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+import heapq
+
+def dijkstra(graph, start):
+    distances = {node: float('inf') for node in graph}
+    distances[start] = 0
+    pq = [(0, start)]
+
+    while pq:
+        current_distance, current_node = heapq.heappop(pq)
+
+        if current_distance > distances[current_node]:
+            continue
+
+        for neighbor, weight in graph[current_node].items():
+            distance = current_distance + weight
+            if distance < distances[neighbor]:
+                distances[neighbor] = distance
+                heapq.heappush(pq, (distance, neighbor))
+
+    return distances
+
+
+# Example graph (dictionary)
+graph = {
+    'A': {'B': 1, 'C': 4},
+    'B': {'A': 1, 'C': 2, 'D': 5},
+    'C': {'A': 4, 'B': 2, 'D': 1},
+    'D': {'B': 5, 'C': 1}
+}
+
+print(dijkstra(graph, 'A'))