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Today, we'll explore Abstract Base Classes (ABCs). Can anyone tell me what an abstract base class is?
Is it a class that can't be instantiated?
Exactly! An ABC is a class that serves as a blueprint. Let's look at an example. We define an ABC by importing `ABC` and `abstractmethod` from the `abc` module.
What does the `@abstractmethod` decorator do?
Great question! The `@abstractmethod` decorator indicates that the method must be implemented in any non-abstract subclasses. For instance, hereβs how we define a class called `Shape` with abstract methods for `area` and `perimeter`.
So, if I try to create an instance of `Shape`, it will throw an error, right?
Correct! Let me recap: ABCs cannot be instantiated directly, and they require subclasses to implement any abstract methods.
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Now that we've seen how to define an ABC, how about we look at implementing it? What does `Rectangle` do that makes it special?
It implements the `area` and `perimeter` methods, right?
Exactly! When we create a subclass like `Rectangle`, we must provide concrete implementations for each abstract method in `Shape`. Letβs look at this code example.
Can we have multiple subclasses implementing the same abstract class?
Absolutely! Each subclass can define different implementations for those abstract methods. This allows for polymorphism.
So, using ABCs helps manage code better?
Yes, it enhances maintainability and reliability, ensuring that different classes adhere to the same interface.
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Finally, letβs discuss how ABCs can be utilized as interfaces. What commonality do you see between ABCs and interfaces in other programming languages?
Both define methods that must be implemented?
Correct! ABCs enforce a contract that ensures subclasses implement specific methods, providing structured design.
Does that mean we can ensure all shapes have an `area` and `perimeter` method?
Exactly! By defining an ABC, we ensure consistency across subclasses. Letβs summarize: ABCs serve as blueprints, cannot be instantiated, require the implementation of abstract methods, and can act as interfaces.
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This section covers the concept of Abstract Base Classes (ABCs) in Python, detailing their implementation and significance for enforcing consistency across subclasses by requiring the implementation of abstract methods. ABCs enable developers to design robust code, improving maintenance and reliability in larger projects.
Abstract Base Classes (ABCs) are a powerful feature in Python that allows developers to define abstract methods that must be implemented within subclasses. By utilizing the abc
module, we can designate a class as an abstract base class. An abstract base class serves as a blueprint for other classes but cannot be instantiated directly.
To define an ABC, we import ABC
and abstractmethod
from the abc
module. An ABC must include at least one abstract method annotated with @abstractmethod
. Hereβs how to define an abstract class:
In this example, Shape
is defined as an abstract class featuring two abstract methods: area
and perimeter
. These methods must be implemented in any subclass derived from Shape
:
Attempting to instantiate the abstract class Shape
directly will raise a TypeError
since it contains abstract methods.
Although Python does not have explicit interfaces like some other programming languages, Abstract Base Classes effectively act as interfaces. They describe a set of methods that must be defined within any implementing class. By using ABCs, developers can enhance the reliability of their code and ensure that larger projects maintain consistent behavior across various components.
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from abc import ABC, abstractmethod class Shape(ABC): @abstractmethod def area(self): pass @abstractmethod def perimeter(self): pass
An Abstract Base Class (ABC) in Python is a type of class that cannot be instantiated on its own and is designed to be subclassed. It includes abstract methods, which are methods that are declared but contain no implementation. In the example, the Shape
class is defined as an ABC, and it has two abstract methods: area
and perimeter
. Any subclass deriving from Shape
is required to provide implementations for these methods.
You can think of an ABC as a blueprint for a house. The blueprint defines features such as rooms, windows, and doors but does not itself produce a physical house. Just like builders must follow the blueprint to create houses, subclasses must implement the abstract methods to create specific shapes.
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class Rectangle(Shape): def __init__(self, width, height): self.width = width self.height = height def area(self): return self.width * self.height def perimeter(self): return 2 * (self.width + self.height)
In this chunk, we see how the Rectangle
class implements the abstract methods from the Shape
base class. The Rectangle
class defines its own constructor to initialize its attributes (width and height) and provides concrete implementations for the area
and perimeter
methods. This is called 'method overriding', where a subclass provides a specific implementation of a method defined in its parent class.
Imagine that the Shape
class is like a general instruction, such as 'create a shape.' When we create a Rectangle
, it's as if we are specifying exactly how to create that shape. Just like a gardener has general instructions for growing plants but must follow specific methods for each type of plant (like watering or sunlight requirements), a Rectangle
must specify how it calculates its area and perimeter.
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s = Shape() # TypeError: Can't instantiate abstract class Shape with abstract methods area, perimeter
This line demonstrates the enforcement of abstract methods in Python. If you try to create an instance of the Shape
class directly, Python raises a TypeError
because Shape
has abstract methods that are not implemented. This behavior ensures that developers cannot use abstract classes directly; they must create subclass instances instead, thereby ensuring that all necessary methods are properly defined.
Think of an abstract class like a recipe that is incomplete. If you tried to make the dish using just the recipe without any specific instructions, it wouldnβt be possible to create the dish. Similarly, without implementing the abstract methods, you cannot create an instance of the Shape
class; you need to complete the recipe (define the classes) before cooking.
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ABCs improve code reliability and make large projects easier to maintain by enforcing consistent interfaces.
Abstract Base Classes serve the purpose of interfaces in Python, as they provide a means to define method signatures that subclasses are obligated to implement. This characteristic helps create a consistent and predictable programming environment, particularly in large codebases where many developers might contribute. By ensuring that certain methods exist in every subclass, ABCs help maintain reliability across different parts of a program.
You can think of ABCs as a set of rules for how a team must work on a project. Just as a team will have guidelines to ensure everyone's work aligns (like deadlines and formats), ABCs provide a structure so that every subclass follows the same method signatures, making the code easier to understand and maintain.
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Key Concepts
Abstract Base Classes: Classes that provide a blueprint and cannot be instantiated directly.
Abstract Methods: Methods defined in an ABC to be overridden in subclasses.
Interfaces: ABCs serve as interfaces in Python, ensuring consistent behaviors across subclasses.
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Example of defining an ABC: class Shape(ABC) with @abstractmethod for area and perimeter.
Example of implementing ABC: class Rectangle that defines area and perimeter methods from Shape.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
An abstract class you cannot see, with methods that must always be.
Picture a blueprint for a house; you can't move in until it's built to fit, just like a class must fit its abstract methods to be whole.
ABCs - Always Be Concrete: Remember that abstract classes need concrete implementations.
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Review the Definitions for terms.
Term: Abstract Base Class (ABC)
Definition:
A class that cannot be instantiated and serves as a blueprint for other classes, requiring the implementation of abstract methods.
Term: Abstract Method
Definition:
A method that is declared but contains no implementation within the abstract base class and must be implemented in subclasses.
Term: Interface
Definition:
A programming construct that defines methods that must be implemented by other classes, enforcing a contract.