Hello, welcome back! Today, we will decode the fundamentals of Revising Basic Design Patterns - Composition! A vital component of software design patterns, Composition aids us in creating complex classes using simpler ones. Our journey today includes an understanding of the concept of composition, its value in software development, and how to practically implement it in Python.

To kick-start our exploration, let's understand Composition. In object-oriented programming (OOP), composition allows a class to include other classes, paving the way for the creation of complex systems out of simpler components. For instance, when building a car, we bring together independent pieces like the engine, wheels, and seats — a perfect reflection of composition in everyday life. Note that in composition, should the parent object (the car) be destroyed, the child objects (the components) also cease to exist.

Now, let's translate the theory into a Python code application. Transforming the previously mentioned car example, a Car class in Python is created by making objects of the Engine, Wheels, and Seats classes. The Car class owns these child objects; their existence is dependent on the Car.

In the above code, the Car class encapsulates Engine, Wheels, and Seats objects, which are independent but part of the Car class, forming a Composition pattern.

In OOP, Composition and Inheritance are two significant ways to express relationships between classes. While Inheritance implies an "is-a" relationship, Composition suggests a "has-a" relationship. For instance, a Car IS A Vehicle (Inheritance), but a Car HAS an Engine (Composition).

Superb job! You've now decoded composition and even implemented it in Python! Next, you'll encounter stimulating exercises where you'll gain hands-on experience with composition in Python. Stay curious, and keep practicing to fortify your concepts!