F# Tutorials — Complete Beginner to Advanced Guide

F# Guide — What is F#? Functional-First .NET Language

F# is a functional-first programming language on the .NET platform that combines expressiveness of functional programming with .NET's power, used in finance and data science.

F# .NET Setup Guide — Install .NET SDK and F# Interactive

F# installation requires the .NET SDK, providing access to F# Interactive (dotnet fsi), project templates, and integration with VS Code through Ionide.

F# Let Bindings Guide — Immutability, Scope, and Variable Declaration

F# let bindings create immutable values by default with type inference, supporting shadowing, scope rules, and explicit mutable keyword for changing values.

F# Guide — Functions: First-Class Citizens in F#

Functions in F# are first-class values that can be passed as arguments, returned as results, and composed to build complex operations from simple parts.

F# Guide — Immutable Data: Values That Never Change

Immutable data in F# means values cannot be modified after creation, preventing entire categories of bugs and making concurrent code safer.

F# Guide — Pattern Matching: Elegant Conditional Logic

Pattern matching in F# matches values against patterns to decompose data structures, control flow, and handle all cases exhaustively.

F# Guide — Lists: Ordered Collections of Elements

F# lists are immutable, singly-linked ordered collections with powerful functions for mapping, filtering, folding, and composing data operations.

F# Guide — Arrays: Fixed-Size Mutable Collections

F# arrays are fixed-size, zero-based, mutable collections with fast indexed access and a rich set of functional operations for data processing.

F# Guide — Sequences: Lazy Data Streams

F# sequences are lazy collections that compute elements on-demand, enabling efficient processing of large or infinite data streams.

F# Guide — Records: Structured Data with Named Fields

F# records are lightweight immutable data types with named fields that provide structural equality, pattern matching, and copy-and-update semantics.

F# Guide — Discriminated Unions: Modeling Choices and Variants

Discriminated unions in F# define types that can be one of several named cases, each with optional associated data, for modeling branching logic.

F# Guide — Option Types: Handling Missing Values Safely

F# Option types represent values that may or may not exist, providing type-safe handling of missing data without null reference exceptions.

F# Guide — Result Types: Composable Error Handling

F# Result types represent operations that can succeed with a value or fail with an error, enabling composable and type-safe error handling.

F# Guide — Modules: Organizing Code with Namespaces

F# modules organize related functions, types, and values into named containers, controlling scope and providing hierarchical code structure.

F# Guide — Collections: Set, Map, and Advanced Operations

F# provides Set and Map immutable collections alongside advanced list, array, and sequence operations for comprehensive data manipulation.

F# Guide — Pipelines: Composable Data Processing

F# pipelines chain data transformations using the pipe operator (|>), creating readable sequences of operations where data flows from one function to the next.

F# Guide — Function Composition: Building New Functions

Function composition in F# combines existing functions to create new functions using the >> and << operators for building complex logic from simple parts.

F# Guide — Async: Asynchronous Programming with Async

F# async workflows enable non-blocking I/O operations with a clean syntax that separates asynchronous logic from execution, using let! and do! bindings.

F# Guide — Task: .NET Task-Based Asynchronous Programming

F# task computation expressions provide direct integration with .NET tasks, enabling interoperable async code with C# libraries using let! and return.

F# Guide — MailboxProcessor: Agent-Based Concurrency

MailboxProcessor (agent) in F# manages concurrent state through message passing, providing safe, isolated state management without shared memory locks.

F# Guide — Query Expressions: LINQ-Style Data Queries

F# query expressions provide LINQ-style syntax for querying data sources including databases, collections, and other queryable data with comprehension syntax.

F# Guide — Type Providers: Type-Safe Data Integration

F# type providers generate types from external data sources at compile time, enabling type-safe access to databases, web services, and file formats.

F# Guide — File I/O: Reading and Writing Files

F# provides functional wrappers around .NET file I/O with streaming, async operations, and safe resource management for reading and writing files.

F# Guide — JSON: Parsing and Generating JSON Data

F# JSON processing uses type providers and libraries like System.Text.Json or FSharp.Json for parsing, generating, and transforming JSON data.

F# Guide — HTTP: Making Web Requests

F# HTTP clients use HttpClient and FSharp.Data HTTP utilities for making web requests, handling responses, and processing API data.

F# Guide — Testing: Unit and Property-Based Testing

F# testing combines xUnit/NUnit for unit tests with FsCheck for property-based testing, leveraging F#'s functional nature for testable code.

F# Guide — .NET Interop: Calling C# Code from F#

F# seamlessly interoperates with C# and .NET libraries through direct method calls, object creation, interface implementation, and CLR integration.

F# Guide — Fable: Compiling F# to JavaScript

Fable is an F# to JavaScript compiler that brings F#'s type safety and functional paradigm to browser, Node.js, and React applications.

F# Guide — Paket: Dependency Management for .NET

Paket is an alternative package manager for .NET that provides centralized dependency management, version consolidation, and NuGet integration.

F# Guide — Common Libraries and Ecosystem

The F# ecosystem provides libraries for web development, data science, testing, parsing, and more, building on the .NET platform's rich ecosystem.