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Code required for IPRIoT portfolio. Demonstrates the four pillars of OO.

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Smiley: Intro to OOP and IoT

Demonstrates key Python OOP concepts and provides the first project's starting code.

The project presents various smiley faces that appear on the SenseHAT LED matrix.

The project helps students explore the core pillars of OOP. Specifically:

  1. Abstraction: expose objects in terms of how they are used, not how they are implemented
  2. Polymorphism: handle different forms in the same way
  3. Inheritance: by subclassing a common Smiley class
  4. Encapsulation: protect the internal state of objects

Students are encouraged to play around with the files to get a feel for what's going on.

Working on this project

You must work against your forked version of this repository:

  1. From the top-right corner, select Fork and follow the prompts.
  2. Open the terminal (Command Prompt or Git Bash on Windows) and navigate to the desired parent folder for this project.
  3. Clone the forked repository:
git clone https://github.com/YOUR_USERNAME/civ-ipriot-smiley.git

Replace YOUR_USERNAME with your GitHub username.

  1. Navigate to the cloned repository:
cd civ-ipriot-smiley
  1. Create a new branch:
git checkout -b at2-part1
  1. Modify the code based on the assessment requirements
  2. Stage the modifications you made:
git add .
  1. Commit the changes:
git commit -m "Addressed requirements of the porfolio"
  1. Push the changes:
git push origin at2-part1

After you have submitted

You may want to merge the changes back to your main branch.

Stretch goals

The following are some activities that go beyond the project's basic requirements to teach us more modern software development principles. These activities should only be attempted after you have met the project requirements, and they will not be assessed.

Favor composition over inheritance ('is a' versus 'has a')

While inheritance was one of the darlings of OOP, in modern software development, it is recognised that inheritance can introduce implicit dependencies (coupling) between various parts of the code. This is captured by the famous adage:

Favour composition over inheritance

Raf's corollary to the above statement is:

If there's some way to state a relationship in terms of has a, then use a has a relationship.

We know what inheritance looks like:

Parent:
   """Do common stuff"""

Child(Parent):
    """Do specialised stuff"""

But what does composition look like in Python?

Well, here's the crazy thing, you've already been doing composition, you just didn't know it. Let's go back to the very very first OOP example we did:

class Dog:
    def __init__(self, name, breed):
        self.name = name
        self.breed = breed

Where's the composition?

That's right!

Remember, in Python, everything is an object!

So a dog has a name string and a dog has a breed string. Thus, a dog is composed of two strings: name and breed!

It is the same for any other object, including our own: when we create an instance of a class in another instance of the class, we are now composing one object from another.

Exercise

Reimagine the relationship between Smiley and Happy. How can we maintain reusability while avoiding inheritance?

Clues

  • "Happy has a Smiley?" doesn't sound right, does it?
  • "Smiley has a Happy?" sounds even worse!
  • What about a Smiley is composed of an Expression?
  • What kind of class would Expression be?
Learn more

When we do use inheritance, we tend to favour inheriting from abstractions, not concrete classes. For example, it is pretty helpful to standardise everything that an "Expression" can do so that we can (polymorphically) handle expressions, so it makes sense for Happy, Sad, Etc, to inherit from Expression(ABC) and for Smiley to be composed of an expression (which we can pass at instantiation time).

composition > inheritance

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Code required for IPRIoT portfolio. Demonstrates the four pillars of OO.

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