more README updates

README.mkd

@@ -23,7 +23,7 @@ To create a new object of the Parse class _GameScore_:
 >>> gameScore.cheatMode = False
 ~~~~~
 
-As you can see, we can add new properties simply by assining values to our _ParseObject_'s attributes. Supported data types are any type that can be serialized by JSON, the and datetime.datetime object. (Binary data and references to other _ParseObject_'s is also supported, as we'll see in a minute.)
+As you can see, we add new properties simply by assining values to our _ParseObject_'s attributes. Supported data types are any type that can be serialized by JSON, and Python's _datetime.datetime_ object. (Binary data and references to other _ParseObject_'s is also supported, as we'll see in a minute.)
 
 To save it, just call the save() method:
 
@@ -36,6 +36,16 @@ If we want to make an update, just call save() again afterwards to send the chan
 ~~~~~ {python}
 >>> gameScore.score = 2061
 >>> gameScore.save()
+~~~~~
+
+That's it! You're ready to start saving data to Parse.
+
+Object Metadata
+---------------
+
+The methods objectId(), createdAt(), and updatedAt() return metadata about a _ParseObject_ that cannot be modified through the API:
+
+~~~~~ {python}
 >>> gameScore.objectId()
 'xxwXx9eOec'
 >>> gameScore.createdAt()
@@ -44,7 +54,8 @@ datetime.datetime(2011, 9, 16, 21, 51, 36, 784000)
 datetime.datetime(2011, 9, 118, 14, 18, 23, 152000)
 ~~~~~
 
-That's it! You're ready to start saving data to Parse.
+Additional Datatypes
+--------------------
 
 If we want to store data in a ParseObject, we should wrap it in a ParseBinaryDataWrapper. The ParseBinaryDataWrapper behaves just like a string, and inherits all of str's methods.
 
@@ -80,16 +91,16 @@ We can also run more complex queries to retrieve a range of objects. For example
 
 Notice how queries are built by chaining filter functions. The available filter functions are:
 
-* **Less Than** lt(_parameter_name_, _value_)
-* **Less Than Or Equal To** lte(_parameter_name_, _value_)
-* **Greater Than** gt(_parameter_name_, _value_)
-* **Greater Than Or Equal To** gte(_parameter_name_, _value_)
-* **Not Equal To** ne(_parameter_name_, _value_)
-* **Limit** limit(_count_)
-* **Skip** skip(_count_)
+* **Less Than**: lt(_parameter_name_, _value_)
+* **Less Than Or Equal To**: lte(_parameter_name_, _value_)
+* **Greater Than**: gt(_parameter_name_, _value_)
+* **Greater Than Or Equal To**: gte(_parameter_name_, _value_)
+* **Not Equal To**: ne(_parameter_name_, _value_)
+* **Limit**: limit(_count_)
+* **Skip**: skip(_count_)
 
 We can also order the results using:
 
-* **Order** order(_parameter_name_, _decending_=False)
+* **Order**: order(_parameter_name_, _decending_=False)
 
 That's it! This is a first try at a Python library for Parse, and is probably not bug-free. If you run into any bugs, please get in touch -- parsepy@paulkastner.com. Thanks!