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I've recently been learning F# for fun (I'm a VB.NET/C# dev), and I really like some of what it has to offer. Theoretically that is. But I'm having trouble thinking up of scenarios where I would choose to code in F# rather than in C#. Any ideas?

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closed as too broad by gnat, Bart van Ingen Schenau, MichaelT, Kilian Foth, Robert Harvey Nov 21 '13 at 20:40

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F# is not fully representative of functional programming. Try Clojure instead. –  Job Feb 21 '11 at 22:14
I don't know F#, but I use Haskell whenever I want my mind blown. Worked every time so far ;) –  delnan Feb 21 '11 at 22:17
infoq.com/presentations/Are-We-There-Yet-Rich-Hickey is a great video on this topic (OO vs. Functional) –  mikera Nov 25 '11 at 11:55
A dynamic functional language? You can have as many as you want. :P –  Erik Reppen Mar 5 '13 at 5:45

7 Answers 7

up vote 12 down vote accepted

A few arguments for pure functional programming:

  • It's easier to divide tasks for today's multi-core systems
  • It's easier to prove your program is correct
  • Functional composition can be amazing, terse, and powerful

For a full treatment, see Why Functional Programming Matters and Why Why Functional Programming Matters Matters.

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Great links. Thanks! –  System Down Feb 22 '11 at 5:00

I'm having trouble thinking up of scenarios where I would choose to code in F# rather than in C#. Any ideas?

From here:

Asynchronous servers

  • Asynchronous workflows for the asynchronous IO.
  • Mailbox processor for the thread-safe message passing.
  • Union types for server state and message catalogue.
  • Pattern matching and tail recursion for the state machines.

Metaprogramming (e.g. parsing)

  • Parser generators like fslex and fsyacc.
  • Parser combinators like FParsec.
  • Active patterns for elegant hand-rolled parsers.
  • Algebraic datatypes to represent parse trees.
  • Pattern matching to manipulate trees, e.g. apply optimization stages.
  • Reflection for run-time generation of fast code.

Technical computing

  • Higher-order functions for elegant and fast algorithmic code.
  • Algebraic datatypes and pattern matching for symbolic manipulation.
  • Interoperability for wealth of .NET libraries.
  • Interactivity using F# interactive.
  • Computation expressions for massaging data.
  • Units of measure for improved correctness.

GUI applications

  • Model as asynchronous message passing between user interface code and application logic code.
  • Higher-order functions let you define user interfaces declaratively.

Logic programming

  • Persistent collections for easy backtracking.
  • Tail calls for reliability.
  • Automatic generalization for easy generic programming.


  • Run unit tests interactively.
  • BDD means writing an interpreter.
  • Good scripting language for writing test harnesses and visualizing results.


  • inline for cost-free higher-order abstraction.
  • Tail calls for fast state machines.
  • Purely functional data structures for low latency.
  • Metaprogramming for generation of optimized code.
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I will admit that I don't know F# or C# but I would suggest spending a few days in F# and seeing what you think. To my mind using the REPL is a major win in any language that supports it –  Zachary K Feb 28 '12 at 11:58

Here's what use functional style programming for -- on a more-or-less daily basis.

We do lots of statistical and actuarial things with fairly large datasets. The data fetched from the database is -- essentially static, immutable objects. No reason to create a class with methods.

Each stage of the calculation adds some additional details, but doesn't essentially mutate the object. At the "end" of the pipeline we're really doing a fancy reduce to compute sums and counts and other things.

Imagine this.

for data in summarize( enrich( calculate( some_query( criteria() ) ) ) ):
    print data

Each "phase" of the calculation is a functional programming loop that does simple read-calculate-yield and creates a composite object of other things plus results.

(We use Python, hence the functional programming using generator functions.)

It's easier to use stateless, immutable objects.

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Does Python have an equivalent to this F#? criteria() |> some_query |> calculate |> enrich |> summarize I find the forward pipe operator can lead to clearer code but I digress. –  ChaosPandion Feb 21 '11 at 23:48
@ChaosPandion: First, that syntax confuses me. But some people seem to like it. There a innumerable Python packages. I'm sure that you could search for that on SO and find an answer. –  S.Lott Feb 22 '11 at 1:16
@Chaos: Not that I know of. usually I compose map to get the same effect. –  Paul Nathan Feb 22 '11 at 2:25

Technically, it is not a unique property of a functional programming, and F# is not a pure functional language. F#, as one of ML descendants, provides an excellent pattern matching and algebraic data types. So, for any task which requires complex data structures F# is much more expressive and easy to use than C#.

Imagine implementing a compiler in C# and F# - representing an abstract syntax tree and transforms over it is much simpler if your language provides ADTs and a pattern matching.

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Ideal for map-reduce kind of massive multi-system and massive multi-core parallelism. Pretty cool, considering that nowadays entry level servers come with 48 cores (96 counting HT).

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If you want fully functional try Haskell, Erlang also has some very cool stuff about it.

Simon Payton-Jones said about Haskell, he wants to have a program that obviously has no bugs, rather than have no obvious bugs.

(I probably got the quote a bit off, but you get the idea)

By constraining side effects you make it much easier to prove your code is correct.

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One definite advantage is that it's much more easily parallelised.

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You're talking about purity and one obvious disadvantage is that purity tends to make programs a lot slower. So parallel+pure is not necessarily a good thing. –  Jon Harrop Feb 25 '12 at 20:32

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