Partition deepmind directory into two parts

Since I did not pass my one-site interview with DM, but I have been invited to
attempt again, I decided to partition this directory into two parts:
1. part_one: Hosting the exercises that I completed before my first attempt at
   earning the job.
2. part_two: Hosting the exercise that I will complete before my second attempt
   at earning the job.

deepmind/part_one/dijkstra.py

@@ -0,0 +1,26 @@
+# Doing a practice implementation of Dijkstra's algorithm: a priority-first
+# search.
+from heapq import heappush, heappop
+
+
+class Node(object):
+    def __init__(self, value, children):
+        self.value = value
+        self.children = children
+
+
+def shortest_path(a, b):
+    """Return the shortest path from `a` to `b`."""
+    q = []
+    seen = set()
+    heappush((a.value, a, [a]), q)
+
+    while q:
+        d, node, path = heappop(q)
+        if node == b:
+            return path
+        seen.add(node)
+        for child in node.children:
+            if child not in seen:
+                heappush((d + child.value, child, path + [child]), q)
+    raise Exception("Path between nodes A and B does not exist.")