Test Your Knowledge on Python's Object-Oriented Programming Features and Concept...

1. Classes bundle data and functionality together to create new objects.
2. Each class instance can have attributes attached to it for maintaining its state.
3. Python's class mechanism adds classes with a minimum of new syntax and semantics.
4. Classes provide all the standard features of Object Oriented Programming.
5. Built-in types can be used as base classes for extension by the user.
6. Python uses namespaces, which are a mapping from names to objects.
7. Scopes are a textual region of a Python program where a namespace is directly accessible.
8. Class definitions place yet another namespace in the local scope.
9. Assignments to names always go into the innermost scope.
10. Class definitions, like function definitions, must be executed before they have any effect.

• Class definitions create a new namespace and local scope
• Function definitions inside a class have a specific argument list
• When a class definition is left, a class object is created and bound to the class name
• Class objects support attribute references and instantiation
• Instance objects only support attribute references
• Valid attribute names for instance objects are data attributes and methods
• Method objects are created when a non-data attribute of an instance is referenced
• Instance variables are unique to each instance, while class variables are shared by all instances
• Data hiding is based on convention in Python, not enforced by the language
• Function objects that are class attributes define methods for instances of that class

1. Python has a class-based object-oriented programming model.
2. Methods may reference global names in the same way as ordinary functions.
3. Each value is an object, and therefore has a class (also called its type).
4. Python supports inheritance.
5. Python also supports multiple inheritance.
6. “Private” instance variables that cannot be accessed except from inside an object don’t exist in Python.
7. There is a convention that is followed by most Python code: a name prefixed with an underscore (e.g. _spam) should be treated as a non-public part of the API.
8. Name mangling is helpful for letting subclasses override methods without breaking intraclass method calls.
9. Python uses iterators to loop over container objects.
10. Define an iter method which returns an object with a next method to add iterator behavior to your classes.

This quiz tests your knowledge of Python's class-based object-oriented programming model. It covers topics such as class definitions, attributes, methods, inheritance, data hiding, and iterators. You'll learn about the specific syntax and semantics of Python's class mechanism, as well as the conventions and best practices that are commonly used when defining and working with classes in Python. With this quiz, you'll gain a deeper understanding of Python's powerful object-oriented programming capabilities.