Haskell Course

Versión en 🇪🇸 traducida por la comunidad

The easiest way to learn Haskell - R.M.

This course is designed to teach non-engineers (e.g., self-taught/bootcamp coders) Haskell from zero to productive in an interactive, easy-to-follow way. The course doesn't contain content specific to Marlowe or Plutus, but it will cover everything needed to work with them.

For a more detailed explanation, keep reading or watch the introduction video:

How much should I study if I only wish to use Marlowe/Plutus?

In the outline below, there are clear stopping points (for both Marlowe and Plutus) where we deem you to know enough Haskell to effectively use the technology.

How to read/watch the lessons

To go through the interactive lessons, go to your chosen lesson's outline inside "What we'll cover" and click on the button that looks like the one below. If the page loads with a "500: Internal Server Error" just refresh it, and it should be fine. At the top, you will see a console that displays the progress of preparing your interactive lesson. During this time, you can scroll down and look at the lesson, that is displayed non-interactively.

And to see the video lessons, click on the button that looks like this:

To do the homework

1. Clone this repository.
2. Create a GitPod account.
3. Click this button to create a remote dev environment:
4. Select the Homework/HomeworkXX folder with the homework you want to complete.
5. Follow the instructions inside the Homework.hs or Main.hs file.
6. Check the solutions in the solutions branch!

Repository structure

Haskell-Course
    |   |
    |   |---- Homework
    |          |
    |          |---- Homework01 (Homework for lesson 01)
    |          |---- Homework02 (Homework for lesson 02)
    |          ...
    |
    |-------- lessons (Lessons in Jupyter notebook format. Access through Binder.)
               |
               |---- 1-Introduction-to-haskell
               |---- 2-Functions-Data-Types-and-Signatures

Everything else can be safely ignored

To hang out and discuss with other students

• Canvas
• IOG's technical community (check out the #ask-haskell channel!)

FAQ

FAQ

Proposed changes for next iteration/version

Changes

What we'll cover

This is a tentative outline. Changes can (and will) be made as we advance with the course and gather feedback from students.

If there are no buttons on a lesson, it means that it's not published yet.

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BEGINNER SECTION - GETTING STARTED WITH HASKELL - 🥚⟶🐣

In this section, we get familiar with basic concepts and Haskell syntax.

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1. Intro and tools

• Intro to the course and lectures
  • What we’ll cover
  • Repository structure
• Intro to Haskell
  • How to open and use JupyterLab
  • Purely functional programming language
  • Basic syntax
  • Haskell Type system
  • Laziness
  • GHC (and GHCi)
• GitPod
  • How to open and use GitPod
  • Example of how to complete a homework assignment.

2. Data types, Signatures, and Polymorphism

• Pragmatic intro to types
• Type signature
  • Function’s signatures
  • Variables in Haskell
    • Parameters in functions
    • Names/Definitions
• Infix and prefix functions
• Data Types in depth
  • Int, Integer
  • Float, Double
  • Rational
  • Bool
  • Char
  • Lists
  • Strings
  • Tuples + Tuples VS Lists
• Polymorphic values and type variables

3. Conditions and helper constructions

• If-then-else
• Guards
• let expressions
• where
• Should I use let or where?
• Things to keep in mind

4. Pattern matching and Case

• What is pattern matching
• Pattern matching on
  • Function implementations
  • Lists
  • Tuples
• Case

5. Improving and combining functions

• Higher-order functions
  • The filter function
  • The any function
• Lambda functions
• Precedence and associativity
• Curried functions
  • Partial application
• Composing and applying functions
  • The $ operator
  • The . operator
• Point-free style

6. Recursion

• Why Recursion?
• Thinking Recursively
  • sum and product
• Steps to create your own recursive function
• Examples of recursion
  • and, length, reverse, drop, take, map, filter
• Extracting the foldr pattern
• The foldl function
• The foldl' function
• When to use foldr, foldl, and foldl'

7. Intro to Type Classes

• The awesomeness of type classes
• What are type classes
• Common type classes
  • Eq, Ord
  • Num, Integral, Floating
  • Read, Show
• The most general valid type
• Multiple constraints

8. Creating Non-Parameterized Types

• Type synonyms
  • How to define type synonyms
  • Why use type synonyms
• Defining new types
  • Creating new types with data
  • Using new types
  • Value parameters
• Record syntax

9. Creating Parameterized and Recursive Types

• Type Parameters
  • Prameteryzing type synonyms
  • Prameteryzing data types
• Recursive data types
  • Tweet me a river
  • A Sequence of Nodes
  • A Tree of Nodes
• Kinds
• The newType keyword

10. Creating Type Classes and Instances

• Overloading
• Steps to create Type Classes and Instances
• The Eq type class
  • Defining the Type Class
  • Defining multiple instances
  • Improving our Eq type class with mutual recursion (and Minimal Complete Definitions)
  • Defining an instance for a parameterized type.
• The WeAccept Type Class
• The Container Type Class
• Exploring Ord type class (Subclassing)
• Deriving
  • Deriving can go wrong

11. Basic IO

• Pure functions
• Introduction to IO actions
• IO actions under the hood
• IO actions in practice
  • The () type
• Interacting with the user
  • getChar, getLine, and putStrLn
• Actions are first-class values
• Composing IO actions (>> and >>= operators)
• The do block
  • Using let, nesting do-blocks, escaping IO and return
• The main action
• Concepts and syntax recap

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BEGINNER SECTION - GAINING INDEPENDENCE - 🐣⟶🐥

In this section, we learn about Haskell tooling and the necessary concepts to start working on our own projects.

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12. Installing Haskell Locally

• Installing Haskell
  • Installing GHCup
  • Installing GHC, Cabal, Stack, and HLS with GHCup
  • Installing VSCode Extensions
• Creating our first program
  • Writing the simplest Haskell program
  • Compiling and running our program

13. Modules

• Importing Modules
  • Controlling environments
  • Controlling namespaces
• Creating our own Modules
• The Prelude and Standard Libraries

14. Cabal and language extensions

• Cabal
  • Introduction to Cabal
  • Creating a new Haskell project
  • Going over the Cabal file using an external library
  • Building and running our executable
• Language extensions and Pragmas
  • Introduction
  • NumericUnderscores
  • TypeApplications

14. Handling Errors

• There're always Exceptions to the rule
• Speed-running Exceptions with a dumb self-driving 🤖 car 🚗
  • I'm the Exception cause I have class 😎
  • throw all the Exceptions you want. I'll catch them all!
• Maybe give me a value? 🙏
  • Benefits of optional values
• Ok, you Either give me a value or a reason why you didn't!
• From Exceptions to optional values
• Tradeoffs
  • So, what should I use?

15. Learning on your own and Map

• Using GHCi to find out more
• Hoogle
• HaskellWiki
• Walking through while teaching Map module
• TODO

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YOU'RE READY FOR MARLOWE! 🥳🎉 (Keep going for Plutus)

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BEGINNER SECTION - BASIC ABSTRACTIONS - 🐥⟶🐓

In this section, we learn about a few of the most useful and talked about Abstractions in Haskell.

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x. Monoid

• Basic idea (definition without details)
• Intuitive examples
• Extracting the pattern
• Complete definition (with all the details/laws)

x. Functor

• Basic idea (definition without details)
• Intuitive examples
• Extracting the pattern
• Complete definition (with all the details/laws)

x. Applicative

• Basic idea (definition without details)
• Intuitive examples
• Extracting the pattern
• Complete definition (with all the details/laws)

x. Aeson?

• TODO (some project using Aeson)

x. Monad

• Basic idea (definition without details)
• Intuitive examples
• Extracting the pattern
• Complete definition (with all the details/laws)
• do notation in general

x. Reader Monad

• Incentive/Motivation
• Binding strategy (see here)
• Definition
• Examples

x. Writer Monad

• Incentive/Motivation
• Binding strategy
• Definition
• Examples

x. State Monad

• Incentive/Motivation
• Binding strategy
• Definition
• Examples

x. Monadic functions / Operating with Monads

• liftM
• sequence and sequence_
• mapM and mapM_
• filterM
• foldM
• ...

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🥳 CONGRATULATIONS! 🥳 You can call yourself a (beginner) Haskell developer!

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TODO: It keeps going, but I'm not sure about the outline yet. 😬

Possible subjects:

• More abstractions?
• Testing?
• Concurrency and Parallelism?
• TLP?
• Template Haskell?
• ...

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