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Kotlin

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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

To compose objects from different sources


To provide a way to wait for multiple concurrent tasks to complete before proceeding further


To ensure thread safety in multi-threaded applications


What is the main purpose of the Barrier design pattern?


What is the main purpose of the Barrier design pattern?

By using the Barrier class provided by the Kotlin standard library


By implementing a custom Barrier class that synchronizes concurrent tasks


By using coroutines and their ability to suspend execution until all concurrent tasks complete


By using the synchronized keyword to ensure thread safety in multi-threaded applications


How can you implement the Barrier design pattern in Kotlin?


How can you implement the Barrier design pattern in Kotlin?

To decouple what is being run from how it's being run


To simplify the construction of complex objects


What is the main goal of the Scheduler design pattern?


What is the main goal of the Scheduler design pattern?

To define the execution context of a coroutine


To create and manage threads for the execution of concurrent tasks


To provide a mechanism for canceling running coroutines


To simplify the implementation of multi-threaded applications


What is the purpose of a dispatcher in Kotlin?


What is the purpose of a dispatcher in Kotlin?

Parsing an HTML page and extracting data from it


Creating a recursive function to traverse a tree data structure


What is an example of a use case for the Pipeline design pattern?


What is an example of a use case for the Pipeline 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 Designing for Concurrency