Object Oriented Programming(OOP)

Understanding Object-Oriented Programming

Introduction

Object-oriented programming has a few benefits over procedural programming, which is the programming style you most likely first learned. As you’ll see in this lesson,

  • object-oriented programming allows you to create large, modular programs that can easily expand over time;
  • object-oriented programs hide the implementation from the end-user.

Python packages like Scikit-learn, pandas, and NumPy. These are all Python packages built with object-oriented programming. Scikit-learn, for example, is a relatively large and complex package built with object-oriented programming. This package has expanded over the years with new functionality and new algorithms.

When you train a machine learning algorithm with Scikit-learn, you don’t have to know anything about how the algorithms work or how they were coded. You can focus directly on the modelling.

How does Scikit-learn train the SVM model? You don’t need to know because the implementation is hidden with object-oriented programming. If the implementation changes, you as a user of Scikit-learn might not ever find out. Whether or not you SHOULD understand how SVM works is a different question.

In this lesson, you’ll practice the fundamentals of object-oriented programming. By the end of the lesson, you’ll have built a Python package using object-oriented programming.

Objects are defined by characteristics and actions

Characteristics and Actions

Another way to think about characteristics and actions is in terms of English grammar. A characteristic would be a noun. On the other hand, an action would be a verb.

Let’s pick something from the real-world: a dog. A few characteristics could be the dog’s weight, color, breed, and height. These are all nouns. What actions would a dog take? A dog can bark, run, bite and eat. These are all verbs.

Object-Oriented Programming (OOP) Vocabulary

  • class – a blueprint consisting of methods and attributes
  • object – an instance of a class. It can help to think of objects as something in the real world like a yellow pencil, a small dog, a blue shirt, etc. However, as you’ll see later in the lesson, objects can be more abstract.
  • attribute – a descriptor or characteristic. Examples would be color, length, size, etc. These attributes can take on specific values like blue, 3 inches, large, etc.
  • method – an action that a class or object could take
  • OOP – a commonly used abbreviation for object-oriented programming
  • encapsulation – one of the fundamental ideas behind object-oriented programming is called encapsulation: you can combine functions and data all into a single entity. In object-oriented programming, this single entity is called a class. Encapsulation allows you to hide implementation details much like how the scikit-learn package hides the implementation of machine learning

Setter/Getter method in Java and Python

Python does not distinguish between private and public variables like other languages. Therefore, there is some controversy about using the underscore convention as well as get and set methods in Python. Why use get and set methods in Python when Python wasn’t designed to use them?

There are some drawbacks to accessing attributes directly versus writing a method for accessing attributes.

In terms of object-oriented programming, the rules in Python are a bit looser than in other programming languages. As previously mentioned, in some languages, like C++, you can explicitly state whether or not an object should be allowed to change or access an attribute’s values directly. Python does not have this option.

Why might it be better to change a value with a method instead of directly? Changing values via a method gives you more flexibility in the long-term. What if the units of measurement change, like the store was originally meant to work in US dollars and now has to handle Euros

Understanding Inheritance

Inheritance enables us to define a class that takes all the functionality from parent class and allows us to add more.

It refers to defining a new class with little or no modification to an existing class. The new class is called derived (or child) class and the one from which it inherits is called the base (or parent) class.

Here is a list of resources for advanced Python object-oriented programming topics.

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