Why Python is better than Java for Object-Oriented Design
Dhananjay Nene recently switched over to Python and has discovered that he is much happier writing programs in Python. We covered his first article in the series, and the end of that post gives an idea of why we think you should listen to him, and also subscribe to his blog. In the next article in the Python vs. Java series, he takes a few design principles of object-oriented programming and shows how to implement those using sample code in Java and Python.
An excerpt to whet your appetite:
Well, static typed languages use polymorphism as a powerful mechanism of extensibility. In other words, in many cases the extensions are likely to be newer derived types. Thus design the rest of your code to work on the base type and introduce the newer derived types later as required without having to necessarily change existing code. However static languages primarily depend upon inheritance as the vehicle for delivering polymorphism. Dynamic languages on the other hand depend upon duck typing. Duck typing supports polymorphism without using inheritance. In this context you need the same set of relevant methods to be implemented in each of the extension classes. The role of the abstract base class or interface as the one which specifies the contract / api has been made redundant. You can still choose to define a base class / interface if you want to, but you no longer have to.
The full article is a must read if you are a student of programming languages in general, and object-oriented programming in particular. If you are neither of those things, and if you plan to be in the software field for a while, then you seriously need to ask yourself, “Why not!?“.