


Manipulating Built-In Python Object Types
Python's built-in object types, such as dictionaries, strings, and lists, are immutable and lack certain methods that may be desired. While it is not possible to directly modify these objects, there is a technique that allows you to add custom functionality to them.
Subclassing and Substitution
To add a method to a built-in type, you can subclass it and substitute your subclass for the original type in the built-in namespace. This way, all instances of the built-in type will inherit your added functionality.
Example: Adding a helloWorld() Method to Dictionaries
JavaScript's prototype inheritance allows you to add methods to built-in types, but Python does not have a similar mechanism. However, using subclassing, you can achieve a similar effect:
<code class="python">class CustomDict(dict): def helloWorld(self): print("Hello, dictionary!")</code>
By substituting this subclass for the built-in dict in the global namespace, you can now add the helloWorld() method to any dictionary object:
<code class="python">import __builtin__ __builtin__.dict = CustomDict my_dict = {} my_dict.helloWorld() # Output: Hello, dictionary!</code>
Limitations
This technique has limitations:
- Objects created using literal syntax (e.g., {}) will still be of the original type and will not have the added methods.
- Any changes made to the subclass (e.g., method additions) will affect all instances of the original type.
Conclusion
While you cannot directly add methods to Python's built-in object types, subclassing and substitution provide a way to achieve similar functionality. By extending the built-in classes, you can add additional attributes and behaviors to these objects while maintaining compatibility with existing code.
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