F# for Fun and Profit
  • Introduction
  • Getting started
    • Contents of the book
    • "Why use F#?" in one page
    • Installing and using F#
    • F# syntax in 60 seconds
    • Learning F#
    • Troubleshooting F#
    • Low-risk ways to use F# at work
      • Twenty six low-risk ways to use F# at work
      • Using F# for development and devops scripts
      • Using F# for testing
      • Using F# for database related tasks
      • Other interesting ways of using F# at work
  • Why use F#?
    • The "Why use F#?" Series
      • Introduction to the 'Why use F#' series
      • F# syntax in 60 seconds
      • Comparing F# with C#: A simple sum
      • Comparing F# with C#: Sorting
      • Comparing F# with C#: Downloading a web page
      • Four Key Concepts
      • Conciseness
      • Type inference
      • Low overhead type definitions
      • Using functions to extract boilerplate code
      • Using functions as building blocks
      • Pattern matching for conciseness
      • Convenience
      • Out-of-the-box behavior for types
      • Functions as interfaces
      • Partial Application
      • Active patterns
      • Correctness
      • Immutability
      • Exhaustive pattern matching
      • Using the type system to ensure correct code
      • Worked example: Designing for correctness
      • Concurrency
      • Asynchronous programming
      • Messages and Agents
      • Functional Reactive Programming
      • Completeness
      • Seamless interoperation with .NET libraries
      • Anything C# can do...
      • Why use F#: Conclusion
  • Thinking Functionally
    • The "Thinking Functionally" Series
      • Thinking Functionally: Introduction
      • Mathematical functions
      • Function Values and Simple Values
      • How types work with functions
      • Currying
      • Partial application
      • Function associativity and composition
      • Defining functions
      • Function signatures
      • Organizing functions
      • Attaching functions to types
      • Worked example: A stack based calculator
  • Understanding F# ###
    • The "Expressions and syntax" Series
      • Expressions and syntax: Introduction
      • Expressions vs. statements
      • Overview of F# expressions
      • Binding with let, use, and do
      • F# syntax: indentation and verbosity
      • Parameter and value naming conventions
      • Control flow expressions
      • Exceptions
      • Match expressions
      • Formatted text using printf
      • Worked example: Parsing command line arguments
      • Worked example: Roman numerals
    • The "Understanding F# types" Series
      • Understanding F# types: Introduction
      • Overview of types in F#
      • Type abbreviations
      • Tuples
      • Records
      • Discriminated Unions
      • The Option type
      • Enum types
      • Built-in .NET types
      • Units of measure
      • Understanding type inference
    • Choosing between collection functions
    • The "Object-oriented programming in F#" Series
      • Object-oriented programming in F#: Introduction
      • Classes
      • Inheritance and abstract classes
      • Interfaces
      • Object expressions
    • The "Computation Expressions" Series
      • Computation expressions: Introduction
      • Understanding continuations
      • Introducing 'bind'
      • Computation expressions and wrapper types
      • More on wrapper types
      • Implementing a builder: Zero and Yield
      • Implementing a builder: Combine
      • Implementing a builder: Delay and Run
      • Implementing a builder: Overloading
      • Implementing a builder: Adding laziness
      • Implementing a builder: The rest of the standard methods
    • Organizing modules in a project
    • The "Dependency cycles" Series
      • Cyclic dependencies are evil
      • Refactoring to remove cyclic dependencies
      • Cycles and modularity in the wild
    • The "Porting from C#" Series
      • Porting from C# to F#: Introduction
      • Getting started with direct porting
  • Functional Design ###
    • The "Designing with types" Series
      • Designing with types: Introduction
      • Single case union types
      • Making illegal states unrepresentable
      • Discovering new concepts
      • Making state explicit
      • Constrained strings
      • Non-string types
      • Designing with types: Conclusion
    • Algebraic type sizes and domain modelling
    • Thirteen ways of looking at a turtle
      • Thirteen ways of looking at a turtle (part 2)
      • Thirteen ways of looking at a turtle - addendum
  • Functional Patterns ###
    • How to design and code a complete program
    • A functional approach to error handling (Railway oriented programming)
      • Railway oriented programming: Carbonated edition
    • The "Understanding monoids" Series
      • Monoids without tears
      • Monoids in practice
      • Working with non-monoids
    • The "Understanding Parser Combinators" Series
      • Understanding Parser Combinators
      • Building a useful set of parser combinators
      • Improving the parser library
      • Writing a JSON parser from scratch
    • The "Handling State" Series
      • Dr Frankenfunctor and the Monadster
      • Completing the body of the Monadster
      • Refactoring the Monadster
    • The "Map and Bind and Apply, Oh my!" Series
      • Understanding map and apply
      • Understanding bind
      • Using the core functions in practice
      • Understanding traverse and sequence
      • Using map, apply, bind and sequence in practice
      • Reinventing the Reader monad
      • Map and Bind and Apply, a summary
    • The "Recursive types and folds" Series
      • Introduction to recursive types
      • Catamorphism examples
      • Introducing Folds
      • Understanding Folds
      • Generic recursive types
      • Trees in the real world
    • The "A functional approach to authorization" Series
      • A functional approach to authorization
      • Constraining capabilities based on identity and role
      • Using types as access tokens
  • Testing
    • An introduction to property-based testing
    • Choosing properties for property-based testing
  • Examples and Walkthroughs
    • Worked example: Designing for correctness
    • Worked example: A stack based calculator
    • Worked example: Parsing command line arguments
    • Worked example: Roman numerals
    • Commentary on 'Roman Numerals Kata with Commentary'
    • Calculator Walkthrough: Part 1
      • Calculator Walkthrough: Part 2
      • Calculator Walkthrough: Part 3
      • Calculator Walkthrough: Part 4
    • Enterprise Tic-Tac-Toe
      • Enterprise Tic-Tac-Toe, part 2
    • Writing a JSON parser from scratch
  • Other
    • Ten reasons not to use a statically typed functional programming language
    • Why I won't be writing a monad tutorial
    • Is your programming language unreasonable?
    • We don't need no stinking UML diagrams
    • Introvert and extrovert programming languages
    • Swapping type-safety for high performance using compiler directives
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On this page
  • Getting started
  • Tutorials
  • Functional patterns
  • Worked examples
  • Specific topics in F# ##
  • Controversial posts

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  1. Getting started

Contents of the book

A directory of useful pages

PreviousIntroductionNext"Why use F#?" in one page

Last updated 5 years ago

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Getting started

  • will get you started.

  • An interactive tour of F#.

  • has tips to help you learn more effectively.

  • for when you have problems getting your code to compile.

and then you can try...

  • . You can start right now -- no permission needed!

Tutorials

The following series are tutorials on the key concepts of F#.

  • starts from basics and explains how and why functions work the way they do.

  • covers the common expressions such as pattern matching, and has a post on indentation.

  • explains how to define and use the various types, including tuples, records, unions, and options.

  • explains how to use types as part of the design process, making illegal states unrepresentable.

  • . If you are coming to F# from C#, the large number of list functions can be overwhelming, so I have written this post to help guide you to the one you want.

  • : the lazy programmer's guide to writing 1000's of tests.

  • demystifies them and shows how you can create your own.

Functional patterns

These posts explain some core patterns in functional programming -- concepts such as "map", "bind", monads and more.

Worked examples

These posts provide detailed worked examples with lots of code!

Specific topics in F# ##

General:

Functions:

Control Flow:

Types:

Controversial posts

: A functional approach to error handling

: An introduction to handling state using the tale of Dr Frankenfunctor and the Monadster.

: Reinventing the Reader monad.

: A series describing some of the core functions for dealing with generic data types.

: A mostly mathless discussion of a common functional pattern.

: A look at recursive types, catamorphisms, tail recursion, the difference between left and right folds, and more.

: Creating a parser combinator library from scratch.

: demonstrates many different techniques for implementing a turtle graphics API, including state monads, agents, interpreters, and more!

: How to make illegal states unrepresentable (a shopping cart example).

: Using a simple stack to demonstrate the power of combinators.

: Using pattern matching in conjunction with custom types.

: Another pattern matching example.

: The type-first approach to designing a Calculator.

: A walkthrough of the design decisions in a purely functional implementation

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that differentiate F# from a standard imperative language.

.

.

.

.

and .

.

.

especially on why .

.

.

.

.

or, why predictability is important.

. My approach to the Roman Numerals Kata.

. A rant against something I don't get.

or, why in many cases, using UML for class diagrams is not necessary.

Installing and using F#
Why use F#?
Learning F#
Troubleshooting F#
Twenty six low-risk ways to use F# at work
Thinking functionally
Expressions and syntax
Understanding F# types
Designing with types
Choosing between collection functions
Property-based testing
Understanding computation expressions
Railway Oriented Programming
State Monad
Reader Monad
Map, bind, apply, lift, sequence and traverse
Monoids without tears
Fold and recursive types
Understanding Parser Combinators
Thirteen ways of looking at a turtle
Designing for correctness
Stack based calculator
Parsing commmand lines
Roman numerals
Calculator Walkthrough
Enterprise Tic-Tac-Toe
Writing a JSON Parser
Four key concepts
Understanding F# indentation
Currying
Partial Application
If-then-else and loops
Exceptions
Record Types
Tuple Types
Discriminated Unions
Algebraic type sizes and domain modelling
Is your programming language unreasonable?
Commentary on 'Roman Numerals Kata with Commentary'
Ten reasons not to use a statically typed functional programming language
We don't need no stinking UML diagrams
Match..with expressions
Option Types
The downsides of using methods
None is not the same as null
creating folds to hide the matching