Functional Kotlin (The Course)
This Course is part of the following Tracks:
Course Info
Course Material
- Notes about the course
- Project with exercises
- Introduction to functional programming with Kotlin
- Why do we need to use functions as objects?
- Function types
- Function types
- Defining function types
- Using function types
- Named parameters
- Type aliases
- A function type is an interface
- Anonymous functions
- Anonymous functions
- Lambda expressions
- Lambda expressions
- Tricky braces
- Parameters
- Trailing lambdas
- Result values
- Lambda expression examples
- An implicit name for a single parameter
- Closures
- Lambda expressions vs anonymous functions
- Exercise: Function types and literals
- Function references
- Function references
- Top-level functions references
- Method references
- Extension function references
- Method references and generic types
- Bounded function references
- Constructor references
- Bounded object declaration references
- Function overloading and references
- Property references
- Exercise: Inferred function types
- Exercise: Function types and literals
- SAM Interface support in Kotlin
- SAM Interface support in Kotlin
- Support for Java SAM interfaces in Kotlin
- Functional interfaces
- Inline functions
- Inline functions
- Inline functions
- Inline functions with functional parameters
- Non-local return
- Crossinline and noinline
- Reified type parameters
- Inline properties
- Costs of the inline modifier
- Using inline functions
- Exercise: Inline functions
- Collection processing
- Collection processing
forEach
andonEach
filter
map
mapNotNull
flatMap
- Exercise: Optimize collection processing
fold
reduce
sum
withIndex
and indexed variantstake
,takeLast
,drop
,dropLast
andsubList
- Exercise: Adding element at position
- Getting elements at certain positions
- Finding an element
- Counting elements
any
,all
andnone
- Exercise: Implement shop functions (hard)
partition
groupBy
- Associating to a map
distinct
anddistinctBy
- Exercise: Prime access list
- Sorting:
sorted
,sortedBy
andsortedWith
- Sorting mutable collections
- Maximum and minimum
shuffled
andrandom
- Exercise: Refactor collection processing
zip
andzipWithNext
- Windowing
joinToString
Map
,Set
andString
processing- Exercise: Passing students list
- Exercise: Best students list (hard)
- Sequences
- Sequences
- What is a sequence?
- Order is important
- Sequences do the minimum number of operations
- Sequences can be infinite
- Sequences do not create collections at every processing step
- When aren’t sequences faster?
- What about Java streams?
- Kotlin Sequence debugging
- Summary
- Exercise: Understanding sequences
- Type Safe DSL Builders
- Type Safe DSL Builders
- A function type with a receiver
- Simple DSL builders
- Using
apply
- Simple DSL-like builders
- Multi-level DSLs
- DslMarker
- A more complex example
- When should we use DSLs?
- Summary
- Exercise: HTML table DSL
- Exercise: Creating user table row
- Scope functions
- Scope functions
let
- Mapping a single object
- The problem with member extension functions
- Moving an operation to the end of processing
- Dealing with nullability
also
takeIf
andtakeUnless
apply
- The dangers of careless receiver overloading
with
run
- Using scope functions
- Exercise: Using scope functions
- Exercise: orThrow
- Context receivers
- Context receivers
- Extension function problems
- Introducing context receivers
- Use cases
- Classes with context receivers
- Concerns
- Summary
- Exercise: Logger
- A birds-eye view of Arrow
- A birds-eye view of Arrow
- Functions and Arrow Core
- Memoization
- Testing higher-order functions
- Error Handling
- Working with nullable types
- Working with Result
- Working with Either
- Data Immutability with Arrow Optics
- Final words
Instructors
Marcin Moskala is an experienced developer and Kotlin trainer. He is the founder of the Kt. Academy, Kotlin GDE, an official JetBrains partner for teaching Kotlin, and author of the books Effective Kotlin, Kotlin Coroutines, and Android Development with Kotlin.
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