To bring our code closer to the natural language, Kotlin provides infix notations for the functions containing a single parameter. This way, we can invoke the function without using brackets. In this recipe, we are going to learn how to design an infix extension function for the String type, named concat(), which is responsible for the concatenation of two string values.
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Contributors
- Preface
- Ranges, Progressions, and Sequences
- Introduction
- Exploring the use of range expressions to iterate through alphabet characters
- Traversing through ranges using progression with a custom step value
- Building custom progressions to traverse dates
- Using range expressions with flow control statements
- Discovering the concept of sequences
- Applying sequences to solve algorithmic problems
- Expressive Functions and Adjustable Interfaces
- Introduction
- Declaring adjustable functions with default parameters
- Declaring interfaces containing default implementations
- Extending functionalities of classes
- Destructuring types
- Returning multiple data
- Inlining parameters of closure type
- Infix notations for functions
- Smart types checking with generic reified parameters
- Overloading operators
- Shaping Code with Kotlin Functional Programming Features
- Introduction
- Working effectively with lambda expressions
- Discovering basic scoping functions – let, also, apply
- Initializing objects the clean way using the run scoping function
- Working with higher-order functions
- Functions currying 
- Function composition
- Implementing the Either Monad design pattern
- Approach to automatic functions memoization 
- Powerful Data Processing
- Tasteful Design Patterns Adopting Kotlin Concepts
- Introduction
- Implementing the Strategy pattern
- Exploring the power of the Delegation pattern
- Implementing delegated class properties
- Tracking state with the Observer pattern
- Restricting property updates with the Vetoable delegate
- Implementing the advanced Observer pattern by defining a custom property delegate
- Working with the Lazy delegate
- Implementing builders the smart way
- Friendly I/O Operations
- Making Asynchronous Programming Great Again
- Introduction
- Executing tasks in the background using threads
- Background threads synchronization
- Using coroutines for asynchronous, concurrent execution of tasks
- Using coroutines for asynchronous, concurrent tasks execution with results handling
- Applying coroutines for asynchronous data processing
- Easy coroutine cancelation
- Building a REST API client with Retrofit and a coroutines adapter
- Wrapping third-party callback-style APIs with coroutines
- Best Practices for the Android, JUnit, and JVM UI Frameworks
- Introduction
- Clean and safe view-binding with the Android Extensions plugin
- Applying coroutines for asynchronous UI programming on Android, JavaFX, and Swing
- Easy class serialization on Android using the @Parcelize annotation
- Implementing a custom property delegate that provides lifecycle-aware values
- Easy operations on SharedPreferences
- Less boilerplate Cursor data parsing
- Mocking dependencies with the Mockito Kotlin library
- Verifying function invocations
- Unit tests for Kotlin coroutines
- Miscellaneous
- Introduction
- Kotlin and Java interoperability
- Kotlin and JavaScript interoperability
- Renaming generated functions
- Decompiling Kotlin code to Java and JVM bytecode
- Adding custom names for imports
- Wrapping complex type declarations with type aliases
- Expressive try…catch declarations
- Safe type-casting 
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