liveBook · Manning

Monad

As explained in Fabulous Adventures in Data Structures and Algorithms

A monad is an abstraction that pairs a type with operations for lifting values and chaining context-aware computations while preserving the structure of composition.

A monad is a generic type that adds a capability—such as nullability, laziness, asynchrony, or sequencing—while preserving the workflow of operations on the underlying value. section 11.0 section 11.1

Unit lifts an ordinary value into a monadic wrapper. Bind chains a function that already returns a monadic value, preventing incompatible capabilities from becoming unnecessarily nested. section 11.1 section 11.3

The core operations expose the common structure across different generic types:

  • Unit wraps a value in Nullable<T>, Lazy<T>, Task<T>, or a one-element IEnumerable<T>. section 11.1
  • Map applies an ordinary function while preserving the existing capability. section 11.3
  • Bind chains a monad-returning function, with implementations for nullable values, laziness, tasks, and sequences. section 11.3
  • Join removes one level of nested monadic structure; sequence monads expose Bind and Map as SelectMany and Select. section 11.5

Keeping laziness from nesting

Given a Lazy<int> and a function returning Lazy<double>, ordinary Map produces Lazy<Lazy<double>>. Bind instead evaluates the outer workflow and returns a single Lazy<double>, preserving one layer of laziness.

static Nullable<T> NullableUnit<T> where T : struct (T t) => 
    new Nullable<T>(t);
static Lazy<T> LazyUnit<T>(T t) => new Lazy<T>(t);
static Task<T> TaskUnit<T>(T t) => Task.FromResult(t);
static IEnumerable<T> SeqUnit<T>(T t) => [ t ];

Compare compact C# Unit implementations for nullable values, lazy values, tasks, and sequences. section 11.1

How Fabulous Adventures in Data Structures and Algorithms covers it

How deep it goes
Develops Unit, Map, Bind, and Join with C# transformations, but stops short of spelling out the monad laws.
Examples
Uses Nullable<T>, Lazy<T>, Task<T>, IEnumerable<T>, division by two, nested lazy values, and discrete distributions.
What it assumes
Assumes generic types and functions, then develops monadic operations through concrete C# examples.
What you can do after
Apply it via Unit and Bind to transform ordinary workflows into workflows carrying nullable, lazy, asynchronous, sequence, or probabilistic behavior.
How it connects
Connects generic types, category theory, nullable types, lazy evaluation, asynchronous programming, sequences, and probability distributions.

Also explained in

Compare how 6 books explain monad →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Fabulous Adventures in Data Structures and Algorithms. The section links point to the parts of the book it draws on.