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  • Book Overview & Buying Programming Kotlin
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Programming Kotlin

Programming Kotlin

By : Stephen Samuel, Stefan Bocutiu
3.4 (7)
Buy this Book
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Programming Kotlin

Programming Kotlin

3.4 (7)
By: Stephen Samuel, Stefan Bocutiu
Buy this Book

Overview of this book

Quickly learn the fundamentals of the Kotlin language and see it in action on the web. Easy to follow and covering the full set of programming features, this book will get you fluent in Kotlin for Android.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Getting Started with Kotlin
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1. Getting Started with Kotlin
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Using the command line to compile and run Kotlin code
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Kotlin runtime
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The REPL
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Kotlin for scripting
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Kotlin with Gradle
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Kotlin with Maven
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IntelliJ and Kotlin
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Eclipse and Kotlin
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Mixing Kotlin and Java in a project
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Summary
2
2. Kotlin Basics
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2. Kotlin Basics
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Vals and vars
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Type inference
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Basic types
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Comments
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Packages
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Imports
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String templates
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Ranges
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Loops
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Exception handling
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Instantiating classes
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Referential equality and structural equality
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This expression
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Visibility modifiers
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Control flow as expressions
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Null syntax
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When expression
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Type hierarchy
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Summary
3
3. Object-Oriented Programming in Kotlin
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3. Object-Oriented Programming in Kotlin
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Classes
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Interfaces
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Inheritance
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Visibility modifiers
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Abstract classes
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Interface or abstract class
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Polymorphism
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Overriding rules
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Inheritance versus composition
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Class delegation
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Sealed classes
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Summary
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4. Functions in Kotlin
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4. Functions in Kotlin
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Defining functions
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Single expression functions
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Member functions
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Local functions
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Top-level functions
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Named parameters
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Default parameters
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Extension functions
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Operators
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Function literals
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Tail recursive functions
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Varargs
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Standard library functions
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Generic functions
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Pure functions
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Java from Kotlin
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Kotlin from Java
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Summary
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5. Higher Order Functions and Functional Programming
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5. Higher Order Functions and Functional Programming
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Higher order functions
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Closures
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Anonymous functions
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Function references
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Function-literal receivers
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Functions in the JVM
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Function composition
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Inline functions
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Currying and partial application
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Memoization
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Type alias
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Either
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Custom DSLs
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Validation and error accumulation
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Summary
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6. Properties
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6. Properties
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Why use properties?
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Syntax and variations
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Visibility
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Late initialization
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Delegated properties
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Lazy initializations
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Lateinit versus lazy
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Observables
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A non-null property delegate
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Properties or methods?
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Summary
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7. Null Safety, Reflection, and Annotations
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7. Null Safety, Reflection, and Annotations
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Nullable types
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Smart cast
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Safe null access
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Elvis operator
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Safe casting
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Optionals
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Reflection
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Constructors
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Objects and companions
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Useful KClass properties
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Reflective functions and properties
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Annotations
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Standard annotations
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Runtime annotation discovery
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Summary
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8. Generics
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8. Generics
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Parameterised functions
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Parameterized types
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Bounded polymorphism
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Type variance
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Nothing type
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Type projection
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Type erasure
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Type reification
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Recursive type bounds
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Algebraic data types
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Summary
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9. Data Classes
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9. Data Classes
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Automatic creation of getters and setters
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The copy method
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toString out of the box
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hashCode and equals methods generated for you
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Destructed declarations
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Destructing types
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Data class definition rules
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Limitations
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Summary
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10. Collections
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10. Collections
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Class hierarchy
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Arrays
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Lists
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Maps
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Sets
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Read-only views
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Indexed access
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Sequences
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Summary
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11. Testing in Kotlin
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11. Testing in Kotlin
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Getting started
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Choosing a spec
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Matchers
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Inspectors
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Interceptors
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Project config
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Property testing
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Table-driven testing
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Tags, conditions, and config
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Summary
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12. Microservices with Kotlin
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12. Microservices with Kotlin
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Definition
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Drawbacks
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Why microservices?
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Lagom
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Defining services
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Implementing a Lagom service
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Summary
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13. Concurrency
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13. Concurrency
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Threads
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Deadlocks and livelocks
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Executors
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Race conditions
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Summary

Chapter 13. Concurrency

You've most likely heard of Moore's Law. In 1965, Gordon Moore noticed that the number of transistors that could be fit on a circuit board per square inch had doubled every year since their invention. Moore's Law was the name given to the belief that this would continue, albeit every 18 months. So far, this has been remarkably correct. The upshot is that computers are getting faster and smaller, and they use less power; one example is the ubiquity of mobile phones.

However, nothing lasts forever. The exponential growth in the context of processing power is already tailing off. If we are unable to continually make systems work faster by increasing raw speed, we must look for an alternative.

One such alternative is to split programs into parts that could run concurrently and then use multiple processors. Together, a collection of slower chips can perform as fast as one faster chip as long as the programs are able to parallelize their code to...

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Programming Kotlin
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