Everyone knows what an object is: a tangible thing that we can sense, feel, and manipulate. The earliest objects we interact with are typically baby toys. Wooden blocks, plastic shapes, and over-sized puzzle pieces are common first objects. Babies learn quickly that certain objects do certain things: bells ring, buttons are pressed, and levers are pulled.

The definition of an object in software development is not terribly different. Software objects may not be tangible things that you can pick up, sense, or feel, but they are models of something that can do certain things and have certain things done to them. Formally, an object is a collection of data and associated behaviors.

Considering what an object is, what does it mean to be object-oriented? In the dictionary, oriented means directed toward. Object-oriented programming means writing code directed toward modeling objects. This is one of many techniques used for...

An object is a collection of data with associated behaviors. How do we differentiate between types of objects? Apples and oranges are both objects, but it is a common adage that they cannot be compared. Apples and oranges aren't modeled very often in computer programming, but let's pretend we're doing an inventory application for a fruit farm. To facilitate this example, we can assume that apples go in barrels and oranges go in baskets.

The problem domain we've uncovered so far has four kinds of objects: apples, oranges, baskets, and barrels. In object-oriented modeling, the term used for a kind of object is class. So, in technical terms, we now have four classes of objects.

It's important to understand the difference between an object and a class. Classes describe related objects. They are like blueprints for creating an object. You might have three oranges sitting on the table in front of you. Each orange...

We now have a grasp of some basic object-oriented terminology. Objects are instances of classes that can be associated with each other. A class instance is a specific object with its own set of data and behaviors; a specific orange on the table in front of us is said to be an instance of the general class of oranges.

The orange has a state, for example, ripe or raw; we implement the state of an object via the values of specific attributes. An orange also has behaviors. By themselves, oranges are generally passive. State changes are imposed on them. Let's dive into the meaning of those two words, state and behaviors.

Data describes object state

Let's start with data. Data represents the individual characteristics of a certain object; its current state. A class can define specific sets of characteristics that are part of all objects that are members of that class. Any specific object can have different data values...

The key purpose of modeling an object in object-oriented design is to determine what the public interface of that object will be. The interface is the collection of attributes and methods that other objects can access to interact with that object. Other objects do not need, and in some languages are not allowed, to access the internal workings of the object.

A common real-world example is the television. Our interface to the television is the remote control. Each button on the remote control represents a method that can be called on the television object. When we, as the calling object, access these methods, we do not know or care if the television is getting its signal from a cable connection, a satellite dish, or an internet-enabled device. We don't care what electronic signals are being sent to adjust the volume, or whether the sound is destined for speakers or headphones. If we open the television to access its...

So far, we have learned to design systems as a group of interacting objects, where each interaction involves viewing objects at an appropriate level of abstraction. But we don't yet know how to create these levels of abstraction. There are a variety of ways to do this; we'll discuss some advanced design patterns in Chapters 10, 11, and 12. But even most design patterns rely on two basic object-oriented principles known as composition and inheritance. Composition is simpler, so let's start with that.

Composition is the act of collecting several objects together to create a new one. Composition is usually a good choice when one object is part of another object. We've already seen a first hint of composition when talking about cars. A fossil-fueled car is composed of an engine, transmission, starter, headlights, and windshield, among numerous other parts. The engine, in turn, is composed of pistons, a crank shaft, and valves. In this example,...

We discussed three types of relationships between objects: association, composition, and aggregation. However, we have not fully specified our chess set, and these tools don't seem to give us all the power we need. We discussed the possibility that a player might be a human or it might be a piece of software featuring artificial intelligence. It doesn't seem right to say that a player is associated with a human, or that the artificial intelligence implementation is part of the player object. What we really need is the ability to say that Deep Blue is a player, or that Gary Kasparov is a player.

The is a relationship is formed by inheritance. Inheritance is the most famous, well-known, and overused relationship in object-oriented programming. Inheritance is sort of like a family tree. Dusty Phillips is one of this book's authors.

His grandfather's last name was Phillips, and his father inherited...

Our case study will span many of the chapters of this book. We'll be examining a single problem closely from a variety of perspectives. It's very important to look at alternative designs and design patterns; more than once, we'll point out that there's no single right answer: there are a number of good answers. Our intent here is to provide a realistic example that involves realistic depth and complications and leads to difficult trade-off decisions. Our goal is to help the reader apply object-oriented programming and design concepts. This means choosing among the technical alternatives to create something useful.

This first part of the case study is an overview of the problem and why we're tackling it. This background will cover a number of aspects of the problem to set up the design and construction of solutions in later chapters. Part of this overview will include some UML diagrams to capture elements of the problem to be solved. These will...

Some key points in this chapter:

• Analyzing problem requirements in an object-oriented context
• How to draw Unified Modeling Language (UML) diagrams to communicate how the system works
• Discussing object-oriented systems using the correct terminology and jargon
• Understanding the distinction between class, object, attribute, and behavior
• Some OO design techniques are used more than others. In our case study example, we focused on a few:
  • Encapsulating features into classes
  • Inheritance to extend a class with new features
  • Composition to build a class from component objects

This is a practical book. As such, we're not assigning a bunch of fake object-oriented analysis problems to create designs for you to analyze and design. Instead, we want to give you some ideas that you can apply to your own projects. If you have previous object-oriented experience, you won't need to put much effort into this chapter. However, they are useful mental exercises if you've been using Python for a while, but have never really cared about all that class stuff.

First, think about a recent programming project you've completed. Identify the most prominent object in the design. Try to think of as many attributes for this object as possible. Did it have the following: Color? Weight? Size? Profit? Cost? Name? ID number? Price? Style?

Think about the attribute types. Were they primitives or classes? Were some of those attributes actually behaviors in disguise? Sometimes, what looks like data is actually calculated from other data on the object...

In this chapter, we took a whirlwind tour through the terminology of the object-oriented paradigm, focusing on object-oriented design. We can separate different objects into a taxonomy of different classes and describe the attributes and behaviors of those objects via the class interface. Abstraction, encapsulation, and information hiding are highly-related concepts. There are many different kinds of relationships between objects, including association, composition, and inheritance. UML syntax can be useful for fun and communication.

In the next chapter, we'll explore how to implement classes and methods in Python.