We are excited to be a part of your journey through learning a new development paradigm that will truly set you apart from your competition in this ever-growing industry of software engineering. This guide is designed to help you master functional programming in Haskell, a language and paradigm that not only changes how you think about solving problems but also helps you write safer, more scalable, and maintainable code.
In this repository, you’ll find a structured learning path, walking you through the core principles of Haskell, from types and immutability to advanced topics like property-based testing and Nix for deterministic environments. By the end of this journey, you'll have a deep understanding of how to model real-world problems using Haskell’s powerful type system and functional programming constructs.
Follow to ensure you are ready to get coding in ghc, the haskell compiler
Remember, we are here to help you, we only want to see you become the best dang dev there ever was
When you feel comfortable with the amount of learning material (see below projects) you've consumed we encourage you to start on these projects
Each chapter contains a detailed explanation of core Haskell concepts, code examples, and exercises to solidify your understanding. We recommend starting with Introduction and progressing through each chapter in sequence, as each concept builds upon the previous one. Take your time to explore each section and practice the exercises to get the most out of this guide.
Feel free to open issues or contribute if you find improvements or want to add your own knowledge to the guide. The Ace Talent Community is all about helping each other grow and master new skills, so don’t hesitate to engage with the community!
We’re excited to see what you build!
Below are the chapters that will guide you through this journey:
Writing our first Haskell Program In case you are in a hurry to check if Haskell really makes sense for you to learn we give you a way to get right to it.
Introduction Discover why Haskell is more than just an academic language. From Tesla and SpaceX to financial firms and tech giants, learn how Haskell is being used in high-stakes industries for its robustness, strong typing, and functional programming paradigm that ensures reliability and scalability in software systems.
Chapter 0 - Think Like a Functional Programmer Learn how to approach problem-solving by thinking like a functional programmer, breaking down problems using first principles, and understanding the core mindset behind functional programming.
IMPORTANT: Read this before starting the next chapter! Learn how to get started writing Haskell code so you can follow along with the examples. We encourage you to test each piece of code you read in the following tutorials and play around with the functions to gain a thorough understanding.
Chapter 1 - Types, Functions & Domain Theory Learn how types in Haskell are more than just simple categories for data—they can help you model complex business domains in ways that are safe and easy to reason about.
Chapter 2 - Immutability Changes Everything Understand why immutability is at the heart of functional programming, how it simplifies your code, and how it makes testing, concurrency, and reasoning about programs easier.
Chapter 3 - It’s All Patterns Dive deep into pattern matching, one of Haskell’s most powerful features, to destructure and manipulate data in clear and concise ways.
Chapter 4 - Working with Lists and Sets Explore how to work with Haskell’s core data structures: lists and sets, and discover how functional programming offers elegant ways to manipulate collections of data.
Chapter 5 - String Parsing Learn how to handle string data effectively in Haskell, from basic string manipulation to building powerful parsers using libraries like Parsec.
Chapter 6 - Combine Your Functions Master function composition, one of the core principles of Haskell, to build complex logic by combining simple, pure functions.
Chapter 7 - Recursion = GOTO Recursion Recursion is fundamental in Haskell. Learn how to solve problems by breaking them down into smaller, self-referential pieces, unlocking the power of recursion.