To learn F# use one of the free online resources or books below.
Introduces you to F# and show you ways that F# can help in day-to-day development of mainstream commercial business software.
Try F# is an interactive environment where you can explore F# in your web browser (on Mac and Windows). It contains a number of online tutorials demonstrating the power of F#:
- Getting started in F#
- Advanced F# Programming
- Data Visualization and Charting
- Data Science
- Scientific and Numerical Computing
- Financial Computing
F# Books - General
Learn how to build key aspects of web, cloud, and mobile solutions by combining F# with various .NET and open source technologies. With helpful examples, this hands-on book shows you how to tackle concurrency, asynchrony, and other server-side challenges. You’ll quickly learn how to be productive with F#, whether you want to integrate the language into your existing web application or use it to create the next Twitter.
Functional programming is perhaps the next big wave in application development. With Beginning F#, you have a companion that that will help you explore F# and functional programming in a .NET environment. This book is both a comprehensive introduction to all aspects of the language and an incisive guide to using F# for real-world professional development.
Why learn F#? This multi-paradigm language not only offers you an enormous productivity boost through functional programming, it also lets you develop applications using your existing object-oriented and imperative programming skills. With Programming F#, you’ll quickly discover the many advantages of Microsoft’s new language, which includes access to all the great tools and libraries of the .NET platform.
People often ask, “What can F# do that C# cannot?” In this book, you will discover much of what F# can do! You will see familiar things such as object programming and design patterns. Further, you will also see powerful new things like pattern matching, piping, first-class events, object expressions, options, tuples, records, discriminated unions, active patterns, agents, computation expressions and, perhaps most distinctively, type providers.
Don Syme, Adam Granicz, Antonio Cisternino
Expert F# 4.0 is about practical programming in a beautiful language that puts the power and elegance of data-rich functional programming into the hands of professional developers.
Tomas Petricek with Jon Skeet
Real World Functional Programming is a unique tutorial that explores the functional programming model through the F# and C# languages. The clearly presented ideas and examples teach readers how functional programming differs from other approaches. It explains how ideas look in F#-a functional language-as well as how they can be successfully used to solve programming problems in C#.
Michael R. Hansen, Hans Rischel
This comprehensive introduction to the principles of functional programming using F# shows how to apply basic theoretical concepts to produce succinct and elegant programs. It demonstrates the role of functional programming in a wide spectrum of applications including databases and systems. Coverage also includes advanced features in the .NET library, the imperative features of F# and topics such as text processing, sequences, computation expressions and asynchronous computation. With a broad spectrum of examples and exercises, the book is perfect for courses in functional programming and for self-study. Enhancing its use as a text is an accompanying website with downloadable programs, lecture slides, a mini-projects and links to further F# sources.
F# for Scientists explains and demonstrates the powerful features of this important new programming language. The book assumes no prior experience and guides the reader from the basics of computer programming to the implementation of state-of-the-art algorithms. Written in a clear and concise style, F# for Scientists is well suited for researchers, scientists. It also serves as an ideal supplemental text for advanced undergraduate and graduate students with a background in science or engineering.
This book will cover everything you need to know about using functional programming for quantitative finance. Using a functional programming language will enable you to concentrate more on the problem itself rather than implementation details. Tutorials and snippets are summarized into an automated trading system throughout the book.
The Book of F# aims to introduce intermediate and experienced developers to functional-first programming with F#. Throughout the book, you’ll learn how this robust language can help you focus on creating correct solutions by introducing a variety of important concepts including currying, partial application, pattern matching, units of measure, asynchronous workflows, query expressions, type providers, and computation expressions. Furthermore, you’ll discover how F#’s rich object-oriented capabilities allow it to naturally fit into existing applications.
The book Programming Language Concepts (PLC) provides an introduction to programming language concepts and implementation technology, such as interpretation, compilation, type checking and type inference, abstract machines, and garbage collection. F# is used as a meta language throughout the book expressing all concepts and examples of programming language design in a modern strongly-typed language of the ML-family, enabling the reader to experiment with the ideas right away.
Tomas Petricek and Phillip Trelford
F# Deep Dives presents a collection of real-world F# techniques, each written by expert practitioners. Each chapter presents a new use case where you’ll read how the author used F# to solve a complex problem more effectively than would have been possible using a traditional approach. You’ll not only see how a specific solution works in a specific domain, you’ll also learn how F# developers approach problems, what concepts they use to solve them, and how they integrate F# into existing systems and environments.
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems.
This book is packed with real-world examples to easily use machine learning techniques in your business applications.
F# is the result of combining the power and capabilities of functional programming with with the imperative and object-oriented paradigms of .NET. Multi-Paradigm Programming In F# is a book that help developers to make
applications using F# tools and the .NET libraries. This book is written in Persian language in 509 pages. In this book you will read:
- Introduction to F# (History and Advantages)
- Get Statring With F# (Installation, Interactive Environment, …)
- F# Fundementals (Values, Primitive Types, Functions, Type Inference, Generic, …)
- Advance Types (Lists, Tuples, Enums, Discriminated Union, Unit of Measures, …)
- Functional Programming (Expressions, Imutability, Function Values, Pattern Matching, Piping, …)
- Imperative Programming (Statements, Mutable Values, Side Effects, Arrays, Resource Management, …)
- Object Oriented Programming (Objects, Classes, Inheritance, Abstraction, Polymorphism, …)
- Error Handling (Exceptions, Exception Types, Throwing and Catching Exceptions, …)
- Databases (Sql Server, Query Expressions, Type Providers, …)
- User Interfaces (Windows Forms, WPF, GTK#)
F# Books (Coming Soon)
A practical approach with examples in F#. Are you an experienced C#, Java or Python developer? Do you want to understand what all the fuss about functional programming is about? Designed for beginners, this book will explain all the core concepts of functional programming in a practical way with no maths or jargon.
This section lists of some of the freely available online tutorials on F#. You can browse these online guides to find explanation of all important F# language features and see many interesting examples.
The wikibook contains a comprehensive guide to F# programming. It covers F# language basics and essential functional programming concepts such as working with functions and immutable data structures. It also discusses imperative and object-oriented programming in F# and advanced langauge features such as active patterns and computation expressions.
This report explains many of the key features of the F# language that make it a great tool for data science and machine learning. Real world examples take you through the entire data science workflow with F#, from data access and analysis to presenting the results. You’ll learn about F# Data and type providers, the process of data analysis with Deedle and R type provider and the implementation of basic machine learning algorithm with F#.
Material from the F# Introduction Workshop created by Jorge Fioranelli.