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
  • Approach learning F# as a beginner ##
  • Change the way you think ##
  • Dos and Don'ts ##
  • Troubleshooting ##

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  1. Getting started

Learning F#

Functional programming languages need a different approach

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Last updated 5 years ago

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Functional languages are very different from standard imperative languages, and can be quite tricky to get the hang of initially. This page offers some tips on how to learn F# effectively.

Approach learning F# as a beginner ##

If you have experience in languages such as C# and Java, you have probably found that you can get a pretty good understanding of source code written in other similar languages, even if you aren't familiar with the keywords or the libraries. This is because all imperative languages use the same way of thinking, and experience in one language can be easily transferred to another.

If you are like many people, your standard approach to learning a new programming language is to find out how to implement concepts you are already familiar with. You might ask "how do I assign a variable?" or "how do I do a loop?", and with these answers be able to do some basic programming quite quickly.

When learning F#, you should not try to bring your old imperative concepts with you. In a pure functional language there are no variables, there are no loops, and there are no objects!

Yes, F# is a hybrid language and does support these concepts. But you will learn much faster if you start with a beginners mind.

Change the way you think ##

It is important to understand that functional programming is not just a stylistic difference; it is a completely different way of thinking about programming, in the way that truly object-oriented programming (in Smalltalk say) is also a different way of thinking from a traditional imperative language such as C.

F# does allow non-functional styles, and it is tempting to retain the habits you already are familiar with. You could just use F# in a non-functional way without really changing your mindset, and not realize what you are missing. To get the most out of F#, and to be fluent and comfortable with functional programming in general, it is critical that you think functionally, not imperatively.

By far the most important thing you can do is to take the time and effort to understand exactly how F# works, especially the core concepts involving functions and the type system. So please read and reread the series and , play with the examples, and get comfortable with the ideas before you try to start doing serious coding. If you don't understand how functions and types work, then you will have a hard time being productive.

Dos and Don'ts ##

Here is a list of dos and don'ts that will encourage you to think functionally. These will be hard at first, but just like learning a foreign language, you have to dive in and force yourself to speak like the locals.

  • Don't use the mutable keyword at all as a beginner. Coding complex functions without the crutch of mutable state will really force you to understand the functional paradigm.

  • Don't use for loops or if-then-else. Use pattern matching for testing booleans and recursing through lists.

  • Don't use "dot notation". Instead of "dotting into" objects, try to use functions for everything. That is, write String.length "hello" rather than "hello".Length. It might seem like extra work, but this way of working is essential when using pipes and higher order functions like List.map. And don't write your own methods either! See .

  • As a corollary, don't create classes. Use only the pure F# types such as tuples, records and unions.

  • Don't use the debugger. If you have relied on the debugger to find and fix incorrect code, you will get a nasty shock. In F#, you will probably not get that far, because the compiler is so much stricter in many ways. And of course, there is no tool to "debug" the compiler and step through its processing. The best tool for debugging compiler errors is your brain, and F# forces you to use it!

On the other hand:

  • Do create lots of "little types", especially union types. They are lightweight and easy, and their use will help document your domain model and ensure correctness.

  • Do understand the list and seq types and their associated library modules. Functions like List.fold and List.map are very powerful. Once you understand how to use them, you will be well on your way to understanding higher order functions in general.

  • Once you understand the collection modules, try to avoid recursion. Recursion can be error prone, and it can be hard to make sure that it is properly tail-recursive. When you use List.fold, you can never have that problem.

  • Do use pipe (|>) and composition (>>) as much as you can. This style is much more idiomatic than nested function calls like f(g(x))

  • Do understand how partial application works, and try to become comfortable with point-free (tacit) style.

  • Do develop code incrementally, using the interactive window to test code fragments. If you blindly create lots of code and then try to compile it all at once, you may end up with many painful and hard-to-debug compilation errors.

Troubleshooting ##

There are a number of extremely common errors that beginners make, and if you are frustrated about getting your code to compile, please read the page.

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