data structure to represent a group of acquaintances using dictionaries and lists

group.py

@@ -2,4 +2,46 @@
 
 # Your code to go here...
 
-my_group =
+my_group = [
+    {
+        "Name": "Jill",
+        "Age": 26,
+        "Job": "Biologist",
+        "Connections": {"Zalika": "friend", 
+                        "John": "partner"}
+    },
+    {
+        "Name": "Zalika",
+        "Age": 28,
+        "Job": "Artist",
+        "Connections": {"Jill": "friend", 
+                        "Nash": "landlord"}
+    },
+    {
+        "Name": "John",
+        "Age": 27,
+        "Job": "Writer",
+        "Connections": {"Jill": "partner"}
+    },
+    {
+        "Name": "Nash",
+        "Age": 34,
+        "Job": "Chef",
+        "Connections": {"John": "cousin", 
+                        "Zalika": "tennant"}
+    }
+]
+
+import numpy as np
+
+max_age = max(person["Age"] for person in my_group)
+print(f"Maximum age: {max_age}")
+
+avg_nb_relations = np.mean([len(person["Connections"]) for person in my_group])
+print(f"Average number of relations: {avg_nb_relations}")
+
+max_age_with_at_least_one_relation = max(person["Age"] for person in my_group if len(person["Connections"]) >= 1)
+print(f"Maximum age of people who have at least one relation: {max_age_with_at_least_one_relation}")
+
+max_age_with_at_least_one_friend = max(person["Age"] for person in my_group if sum(relation=="friend" for relation in person["Connections"].values()) >= 1)
+print(f"Maximum age of people who have at least one friend {max_age_with_at_least_one_friend}")