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Design patterns enable developers to speed up the development process by providing proven development paradigms. Reusing design patterns helps prevent complex issues that can cause major problems. Moreover, it improves your codebase, promotes code reuse, and makes an architecture more robust.

In this course, you will start with a gentle introduction of the Kotlin language. You will explore design patterns that are part of the best practices that help developers use Kotlin efficiently. Design patterns appeared in the era of object-oriented languages such as C++ and Java. You will learn the language features that Kotlin provides, which allow developers to program in a functional style and implement the design patterns.

After taking this course, you’ll be able to take your knowledge of Kotlin, design patterns, and associated best practices to the software industry and apply it to build reliable, scalable, and maintainable projects.

Kotlin Design Patterns and Best Practices

An operator that provides a default value in case a null value is received.


An operator that provides a default value in case a non-null value is received.


An operator that compares two nullable objects and returns true if they are equal.


An operator that compares two nullable objects and returns false if they are equal.

What is the Elvis operator (`?:`) in Kotlin?

What is the Elvis operator (<code>?:</code>) in Kotlin?

To create a set of classes with slightly different behavior


To add new behaviors to objects dynamically


To modify existing behaviors of an object


To create a base object that other objects can inherit from

What is the purpose of the Decorator design pattern?


What is the purpose of the Decorator design pattern?

To indicate that the function is an operator that can be overloaded


To indicate that the function is a regular function that cannot be overloaded



To indicate that the function is an operator that is already overloaded


To indicate that the function is a regular function that is not meant to be overloaded

What is the purpose of the `operator` keyword in Kotlin?



What is the purpose of the <code>operator</code> keyword in Kotlin?

You cannot see inside of the Decorator, which means that there’s no way of knowing which specific object it wraps.


The compiler cannot validate the wrapped classes.


The top-level decorator may behave like the wrapped class, but it is not an instance of the wrapped class.

What are the limitations of the Decorator design pattern?


What are the limitations of the Decorator design pattern?

Which of the following is an example of the Adapter design pattern in the physical world?


Which of the following is an example of the Adapter design pattern in the physical world?

By adding specialized classes to the system


By defining a new interface for each class


By creating a new implementation for each class

How does the Bridge pattern help avoid the problems that can arise from using inheritance?


How does the Bridge pattern help avoid the problems that can arise from using inheritance?

It simplifies the implementation of interfaces.

What is the advantage of using type aliasing in Kotlin?


What is the advantage of using type aliasing in Kotlin?

A data class is used to minimize memory usage, while a Flyweight object is used to store data.





A data class is primarily used to store data, while a Flyweight object is primarily used to minimize memory usage.



A data class and a Flyweight object are the same thing.


A data class is used to store objects, while a Flyweight object is used to store primitive data types.



What is the difference between a data class and a Flyweight object?



What is the difference between a data class and a Flyweight object?

It extends an object's functionality by adding new behaviors.



It delays the initialization of a field until it is needed.


It allows an object to act as a substitute for another object.

It controls access to a resource by only allowing authorized parties to access it.


What is the Proxy design pattern?

Practice your learning outcomes and test your understanding of the material presented in this chapter by taking this quiz.

Getting Started with Kotlin

Working with Creational Patterns

Understanding Structural Patterns

Getting Familiar with Behavioral Patterns

Introducing Functional Programming

Threads and Coroutines

Controlling the Data Flow

Designing for Concurrency

Idioms and Anti-Patterns

Concurrent Microservices with Ktor

Reactive Microservices with Vert.x

Conclusion

Quiz on Structural Patterns