An updated cheatsheet for F#.
This cheatsheet glances over some of the common syntax of F#.
- Comments
- Strings
- Types and Literals
- Printing Things
- Loops
- Values
- Functions
- Pattern Matching
- Collections
- Records
- Discriminated Unions
- Exceptions
- Classes and Inheritance
- Interfaces and Object Expressions
- Casting and Conversions
- Active Patterns
- Compiler Directives
- Acknowledgments
Line comments start from //
and continue until the end of the line. Block comments are placed between (*
and *)
.
// And this is line comment
(* This is block comment *)
XML doc comments come after ///
allowing us to use XML tags to generate documentation.
/// The `let` keyword defines an (immutable) value
let result = 1 + 1 = 2
The F# string
type is an alias for System.String
type. See Strings.
/// Create a string using string concatenation
let hello = "Hello" + " World"
Use verbatim strings preceded by @
symbol to avoid escaping control characters (except escaping "
by ""
).
let verbatimXml = @"<book title=""Paradise Lost"">"
We don't even have to escape "
with triple-quoted strings.
let tripleXml = """<book title="Paradise Lost">"""
Backslash strings indent string contents by stripping leading spaces.
let poem =
"The lesser world was daubed\n\
By a colorist of modest skill\n\
A master limned you in the finest inks\n\
And with a fresh-cut quill."
Interpolated strings let you write code in "holes" inside of a string literal:
let name = "Phillip"
let age = 30
printfn $"Name: {name}, Age: {age}"
let str = $"A pair of braces: {{}}"
printfn $"Name: %s{name}, Age: %d{age}" // typed
Most numeric types have associated suffixes, e.g., uy
for unsigned 8-bit integers and L
for signed 64-bit integer.
let b, i, l, ul = 86uy, 86, 86L, 86UL
// val ul: uint64 = 86UL
// val l: int64 = 86L
// val i: int = 86
// val b: byte = 86uy
Other common examples are F
or f
for 32-bit floating-point numbers, M
or m
for decimals, and I
for big integers.
let s, f, d, bi = 4.14F, 4.14, 0.7833M, 9999I
// val bi: System.Numerics.BigInteger = 9999
// val d: decimal = 0.7833M
// val f: float = 4.14
// val s: float32 = 4.14f
See Literals for complete reference.
and
keyword is used for definining mutually recursive types and functions:
type A =
| Aaa of int
| Aaaa of C
and C =
{ Bbb : B }
and B() =
member x.Bbb = Aaa 10
Floating point and signed integer values in F# can have associated units of measure, which are typically used to indicate length, volume, mass, and so on:
[<Measure>] type kg
let m1 = 10.0<kg>
let m2 = m1 * 2.0 // type inference for result
let add30kg m = // type inference for input and output
m + 30.0<kg>
add30 2.0<kg> // val it: float<kg> = 32.0
Print things to console with printfn
:
printfn "Hello, World"
printfn $"The time is {System.DateTime.Now}"
You can also use Console.WriteLine
:
open System
Console.WriteLine $"The time is {System.DateTime.Now}"
Constrain types with %d
, %s
, and print structured values with %A
:
let data = [1..10]
printfn $"The numbers %d{1} to %d{10} are %A{data}"
Omit holes and apply arguments:
printfn "The numbers %d to %d are %A" 1 10 data
let list1 = [1; 5; 100; 450; 788]
for i in list1 do
printf "%d" i // 1 5 100 450 788
let seq1 = seq { for i in 1 .. 10 -> (i, i * i) }
for (a, asqr) in seq1 do
// 1 squared is 1
// ...
// 10 squared is 100
printfn "%d squared is %d" a asqr
for i in 1 .. 10 do
printf "%d " i // 1 2 3 4 5 6 7 8 9 10
// for i in 10 .. -1 .. 1 do
for i = 10 downto 1 do
printf "%i " i // 10 9 8 7 6 5 4 3 2 1
for i in 1 .. 2 .. 10 do
printf "%d " i // 1 3 5 7 9
for c in 'a' .. 'z' do
printf "%c " c // a b c ... z
// Using of a wildcard character (_)
// when the element is not needed in the loop.
let mutable count = 0
for _ in list1 do
count <- count + 1
let mutable mutVal = 0
while mutVal < 10 do // while (not) test-expression do
mutVal <- mutVal + 1
Values have different names based on length, called unit, single value and tuples.
// unit (no value)
let nothing = ()
// single value
let single = 1 // same as `let single = (1)`
Functions that return void in C# will return the unit type in F#.
A tuple is a grouping of unnamed but ordered values, with lenght equal or bigger than 2 and possibly of different types:
// 2-tuples
let x = (1, "Hello")
// 3-tuples
let y = ("one", "two", "three")
// Tuple deconstruction
let (a', b') = x
let (c', d', e') = y
// The first and second elements of a tuple can be obtained using `fst`, `snd`, or pattern matching:
let c' = fst (1, 2)
let d' = snd (1, 2)
let print' tuple =
match tuple with
| (a, b) -> printfn "Pair %A %A" a b
The let
keyword also defines named functions.
let pi () = 3.14159 // function with no arguments. () is called unit type
pi () // it's necessary to use () to call the function
let negate x = x * -1
let square x = x * x
let print x = printfn $"The number is: %d{x}"
let squareNegateThenPrint x =
print (negate (square x))
Double-backtick identifiers are handy to improve readability especially in unit testing:
let ``square, negate, then print`` x =
print (negate (square x))
The pipe operator |>
is used to chain functions and arguments together:
let squareNegateThenPrint x =
x |> square |> negate |> print
This operator is essential in assisting the F# type checker by providing type information before use:
let sumOfLengths (xs : string []) =
xs
|> Array.map (fun s -> s.Length)
|> Array.sum
The composition operator >>
is used to compose functions:
let squareNegateThenPrint =
square >> negate >> print
Pattern matching is primarily through match
keyword;
let rec fib n =
match n with
| 0 -> 0
| 1 -> 1
| _ -> fib (n - 1) + fib (n - 2)
Use when
to create filters or guards on patterns:
let sign x =
match x with
| 0 -> 0
| x when x < 0 -> -1
| x -> 1
Pattern matching can be done directly on arguments:
let fst (x, _) = x
or implicitly via function
keyword:
/// Similar to `fib`; using `function` for pattern matching
let rec fib2 = function
| 0 -> 0
| 1 -> 1
| n -> fib2 (n - 1) + fib2 (n - 2)
See Pattern Matching.
Lists are immutable collection of elements of the same type.
// Lists use square brackets and `;` delimiter
let list1 = ["a"; "b"]
// :: is prepending
let list2 = "c" :: list1
// @ is concat
let list3 = list1 @ list2
// Recursion on list using (::) operator
let rec sum list =
match list with
| [] -> 0
| x :: xs -> x + sum xs
Arrays are fixed-size, zero-based, mutable collections of consecutive data elements.
// Arrays use square brackets with bar
let array1 = [| "a"; "b" |]
// Indexed access using dot
let first1 = array1.[0]
let first2 = array1[0] // F# 6
Sequences are logical series of elements of the same type. Individual sequence elements are computed only as required, so a sequence can provide better performance than a list in situations in which not all the elements are used.
// Sequences can use yield and contain subsequences
seq {
// "yield" adds one element
yield 1
yield 2
// "yield!" adds a whole subsequence
yield! [5..10]
}
The yield
can normally be omitted:
// Sequences can use yield and contain subsequences
seq {
1
2
yield! [5..10]
}
Create a dictionary, add two entries, remove an entry, lookup an entry
open System.Collections.Generic
let inventory = Dictionary<string, float>()
inventory.Add("Apples", 0.33)
inventory.Add("Oranges", 0.5)
inventory.Remove "Oranges"
// Read the value. If not exists - throw exception.
let bananas1 = inventory.["Apples"]
let bananas2 = inventory["Apples"] // F# 6
Additional F# syntax:
// Generic type inference with Dictionary
let inventory = Dictionary<_,_>() // or let inventory = Dictionary()
inventory.Add("Apples", 0.33)
dict creates immutable dictionaries. You canβt add and remove items to it.
open System.Collections.Generic
let inventory : IDictionary<string, float> =
["Apples", 0.33; "Oranges", 0.23; "Bananas", 0.45]
|> dict
let bananas = inventory.["Bananas"] // 0.45
let bananas2 = inventory["Bananas"] // 0.45, F# 6
inventory.Add("Pineapples", 0.85) // System.NotSupportedException
inventory.Remove("Bananas") // System.NotSupportedException
Quickly creating full dictionaries:
[ "Apples", 10; "Bananas", 20; "Grapes", 15 ] |> dict |> Dictionary
Map is an immutable key/value lookup. Allows safely add or remove items.
let inventory =
Map ["Apples", 0.33; "Oranges", 0.23; "Bananas", 0.45]
let apples = inventory.["Apples"]
let apples = inventory["Apples"] // F# 6
let pineapples = inventory.["Pineapples"] // KeyNotFoundException
let pineapples = inventory["Pineapples"] // KeyNotFoundException on F# 6 too
let newInventory = // Creates new Map
inventory
|> Map.add "Pineapples" 0.87
|> Map.remove "Apples"
Safely access a key in a Map by using TryFind. It returns a wrapped option:
let inventory =
Map ["Apples", 0.33; "Oranges", 0.23; "Bananas", 0.45]
inventory.TryFind "Apples" // option = Some 0.33
inventory.TryFind "Unknown" // option = None
Useful Map functions include map
, filter
, partition
:
let cheapFruit, expensiveFruit =
inventory
|> Map.partition(fun fruit cost -> cost < 0.3)
-
Use Map as your default lookup type:
- Itβs immutable
- Has good support for F# tuples and pipelining.
-
Use the dict function
- Quickly generate an IDictionary to interop with BCL code.
- To create a full Dictionary.
-
Use Dictionary:
- If need a mutable dictionary.
- Need specific performance requirements. (Example: tight loop performing thousands of additions or removals).
The same list [ 1; 3; 5; 7; 9 ]
can be generated in various ways.
[ 1; 3; 5; 7; 9 ]
[ 1..2..9 ]
[ for i in 0..4 -> 2 * i + 1 ]
List.init 5 (fun i -> 2 * i + 1)
The array [| 1; 3; 5; 7; 9 |]
can be generated similarly:
[| 1; 3; 5; 7; 9 |]
[| 1..2..9 |]
[| for i in 0..4 -> 2 * i + 1 |]
Array.init 5 (fun i -> 2 * i + 1)
Lists and arrays have comprehensive functions for manipulation.
List.map
transforms every element of the list (or array)List.iter
iterates through a list and produces side effects
These and other functions are covered below. All these operations are also available for sequences.
Records represent simple aggregates of named values, optionally with members:
// Declare a record type
type Person = { Name : string; Age : int }
// Create a value via record expression
let paul = { Name = "Paul"; Age = 28 }
// 'Copy and update' record expression
let paulsTwin = { paul with Name = "Jim" }
Records can be augmented with properties and methods:
type Person with
member x.Info = (x.Name, x.Age)
Records are essentially sealed classes with extra topping: default immutability, structural equality, and pattern matching support.
let isPaul person =
match person with
| { Name = "Paul" } -> true
| _ -> false
The rec
keyword is used together with the let
keyword to define a recursive function:
let rec fact x =
if x < 1 then 1
else x * fact (x - 1)
Mutually recursive functions (those functions which call each other) are indicated by and
keyword:
let rec even x =
if x = 0 then true
else odd (x - 1)
and odd x =
if x = 0 then false
else even (x - 1)
rec
also can be used to define strings like this:
let rec name = nameof name
Discriminated unions (DU) provide support for values that can be one of a number of named cases, each possibly with different values and types.
type Tree<'T> =
| Node of Tree<'T> * 'T * Tree<'T>
| Leaf
let rec depth input =
match input with
| Node(l, _, r) -> 1 + max (depth l) (depth r)
| Leaf -> 0
F# Core has a few built-in discriminated unions for error handling, e.g., Option and Result.
Using Option:
let optionPatternMatch input =
match input with
| Some i -> printfn "input is an int=%d" i
| None -> printfn "input is missing"
optionPatternMatch (Some 1)
optionPatternMatch None
Using Result:
let resultPatternMatch input =
match input with
| Ok i -> printfn "Success with code %d" i
| Error e -> printfn "Error with code %d" e
resultPatternMatch (Ok 0)
resultPatternMatch (Error 1)
Single-case discriminated unions are often used to create type-safe abstractions with pattern matching support:
type OrderId = Order of string
// Create a DU value
let orderId = Order "12"
// Use pattern matching to deconstruct single-case DU
let (Order id) = orderId
The failwith
function throws an exception of type Exception
.
let divideFailwith x y =
if y = 0 then
failwith "Divisor cannot be zero."
else x / y
Exception handling is done via try/with
expressions.
let divide x y =
try
Some (x / y)
with :? System.DivideByZeroException ->
printfn "Division by zero!"
None
The try/finally
expression enables you to execute clean-up code even if a block of code throws an exception. Here's an example which also defines custom exceptions.
exception InnerError of string
exception OuterError of string
let handleErrors x y =
try
try
if x = y then raise (InnerError("inner"))
else raise (OuterError("outer"))
with InnerError(str) ->
printfn "Error1 %s" str
finally
printfn "Always print this."
This example is a basic class with (1) local let bindings, (2) properties, (3) methods, and (4) static members.
type Vector(x: float, y: float) =
let mag = sqrt(x * x + y * y) // (1) - local let binding
member this.X = x // (2) property
member this.Y = y // (2) property
member this.Mag = mag // (2) property
member this.Scale(s) = // (3) method
Vector(x * s, y * s)
static member (+) (a : Vector, b : Vector) = // (4) static method
Vector(a.X + b.X, a.Y + b.Y)
Call a base class from a derived one:
type Animal() =
member _.Rest() = ()
type Dog() =
inherit Animal()
member _.Run() =
base.Rest()
Declare IVector
interface and implement it in Vector'
.
type IVector =
abstract Scale : float -> IVector
type Vector(x, y) =
interface IVector with
member __.Scale(s) =
Vector(x * s, y * s) :> IVector
member __.X = x
member __.Y = y
Another way of implementing interfaces is to use object expressions.
type ICustomer =
abstract Name : string
abstract Age : int
let createCustomer name age =
{ new ICustomer with
member __.Name = name
member __.Age = age }
int 3.1415 // float to int = 3
int "3" // string to int = 3
float 3 // int to float = 3.0
float "3.1415" // string to float = 3.1415
string 3 // int to string = "3"
string 3.1415 // float to string = "3.1415"
Upcasting is denoted by :>
operator.
let dog = Dog()
let animal = dog :> Animal
In many places type inference applies upcasting automatically:
let exerciseAnimal (animal: Animal) = ()
let dog = Dog()
exerciseAnimal dog // no need to upcast dog to Animal
Dynamic downcasting (:?>
) might throw an InvalidCastException
if the cast doesn't succeed at runtime.
let shouldBeADog = animal :?> Dog
Complete active patterns:
let (|Even|Odd|) i =
if i % 2 = 0 then Even else Odd
let testNumber i =
match i with
| Even -> printfn "%d is even" i
| Odd -> printfn "%d is odd" i
Parameterized, partial active patterns:
let (|DivisibleBy|_|) divisor n =
if n % divisor = 0 then Some DivisibleBy else None
let fizzBuzz input =
match input with
| DivisibleBy 3 & DivisibleBy 5 -> "FizzBuzz"
| DivisibleBy 3 -> "Fizz"
| DivisibleBy 5 -> "Buzz"
| i -> string i
Partial active patterns share the syntax of parameterized patterns but their active recognizers accept only one argument.
Load another F# source file into F# Interactive (dotnet fsi
).
#load "../lib/StringParsing.fs"
Reference a .NET package:
#r "nuget: FSharp.Data" // latest non-beta version
#r "nuget: FSharp.Data,Version=4.2.2" // specific version
Specifying a package source:
#i "nuget: https://my-remote-package-source/index.json"
#i """nuget: C:\path\to\my\local\source"""
Reference a specific .NET assembly file:
#r "../lib/FSharp.Markdown.dll"
Include a directory in assembly search paths:
#I "../lib"
#r "FSharp.Markdown.dll"
Other important directives are conditional execution in FSI (INTERACTIVE
), conditional for compiled code (COMPILED
) and querying current directory (__SOURCE_DIRECTORY__
).
#if INTERACTIVE
let path = __SOURCE_DIRECTORY__ + "../lib"
#else
let path = "../../../lib"
#endif
Thanks goes to these people/projects: