Updated

AdvancedTutorials/8_Serialization.py

@@ -0,0 +1,41 @@
+# Python provides built-in JSON libraries to encode and decode JSON.
+# In Python 2.5, the simplejson module is used, whereas in Python 2.7, the json module is used. Since this interpreter uses Python 2.7, we'll be using json.
+# In order to use the json module, it must first be imported:
+
+import json
+
+# To load JSON back to a data structure, use the "loads" method. This method takes a string and turns it back into the json object datastructure:
+# To encode a data structure to JSON, use the "dumps" method. This method takes an object and returns a String:
+
+json_string = json.dumps([1, 2, 3, "a", "b", "c"])
+
+print(json.loads(json_string))
+print(json_string)
+
+# Python supports a Python proprietary data serialization method called pickle (and a faster alternative called cPickle).
+# You can use it exactly the same way.
+
+import pickle
+
+pickled_string = pickle.dumps([1, 2, 3, "a", "b", "c"])
+print(pickle.loads(pickled_string))
+
+# The aim of this exercise is to print out the JSON string with key-value pair "Me" : 800 added to it.
+
+import json
+
+# fix this function, so it adds the given name
+# and salary pair to salaries_json, and return it
+def add_employee(salaries_json, name, salary):
+    # Add your code here
+    salaries = json.loads(salaries_json)
+    salaries[name] = salary
+    return json.dumps(salaries)
+
+# test code
+salaries = '{"Alfred" : 300, "Jane" : 400 }'
+new_salaries = add_employee(salaries, "Me", 800)
+decoded_salaries = json.loads(new_salaries)
+print(decoded_salaries["Alfred"])
+print(decoded_salaries["Jane"])
+print(decoded_salaries["Me"])