Merge pull request #75 from code4tomorrow/chrehall68-patch-1

The other JSON practice problem

3_advanced/chapter20/practice/favorite_foods.json

@@ -0,0 +1,8 @@
+{
+    "favorite foods": {
+        "Jerry": "ice cream",
+        "Ben": "ice cream",
+        "Steven": "eggroll",
+        "Spongebob": "Krabby Patty"
+    }
+}

3_advanced/chapter20/practice/json_practice_2.py

@@ -0,0 +1,4 @@
+# use the file "wildlife.json"
+# load the data in the JSON file
+# add at least one habitat and corresponding animal(s) to the dictionary
+# finally, write the updated dictionary to the json file.

3_advanced/chapter20/practice/wildlife.json

@@ -0,0 +1,6 @@
+{
+    "China": "pandas",
+    "Africa": "cheetas",
+    "North America": "bison",
+    "South America": "boa constrictor"
+}

3_advanced/chapter20/solutions/favorite_foods.json

@@ -0,0 +1,14 @@
+{
+    "favorite foods": {
+        "Jerry": "ice cream",
+        "Ben": "ice cream",
+        "Steven": "eggroll",
+        "Spongebob": "Krabby Patty"
+    },
+    "names": [
+        "Jerry",
+        "Ben",
+        "Steven",
+        "Spongebob"
+    ]
+}

3_advanced/chapter20/solutions/json_practice_1.py

@@ -9,9 +9,12 @@
 a = open("favorite_foods.json", "r")
 x = json.load(a)
 names = []
+foods = set()
 for name, food in x["favorite foods"].items():
-    print(food)
+    foods.add(food)
     names.append(name)
+for food in foods:
+    print(food)
 x["names"] = names  # create an item within the dictionary that has the names
 a.close()
 n = open("favorite_foods.json", "w")

3_advanced/chapter20/solutions/json_practice_2.py

@@ -0,0 +1,14 @@
+# use the file "wildlife.json"
+# load the data in the JSON file
+# add at least one habitat and corresponding animal(s) to the dictionary
+# finally, write the updated dictionary to the json file.
+
+import json
+
+a = open("wildlife.json", "r")
+x = json.load(a)
+a.close()
+x["Deepest Peru"] = "Paddington"
+n = open("wildlife.json", "w")
+json.dump(x, n, indent=4)
+n.close()

3_advanced/chapter20/solutions/wildlife.json

@@ -0,0 +1,7 @@
+{
+    "China": "pandas",
+    "Africa": "cheetas",
+    "North America": "bison",
+    "South America": "boa constrictor",
+    "Deepest Peru": "Paddington"
+}