Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/haskell-beginners-2022/course-plan

📜 Haskell course info, plan, video lectures, slides
https://github.com/haskell-beginners-2022/course-plan

beginner-friendly course functional-programming hacktoberfest hacktoberfest2022 haskell learning mentorship

Last synced: 18 days ago
JSON representation

📜 Haskell course info, plan, video lectures, slides

Awesome Lists containing this project

README 

        
# course-plan





  




Haskell and Functional Programming course for complete beginners.



> :warning: The course authors no longer provide reviews of the solutions.

> However, all the learning materials are free and publicly available.

> You can learn Haskell on your own or with the help of others.



Course learning materials comprise:



* [🎥 Four 1-hour lectures on YouTube][video]

* [🖼 Slides][slides]

* [🧩 Practical exercises and Haskell installation instructions][exercises]



[video]: https://www.youtube.com/watch?v=6MsQcUprO9o&list=PLOJjn67NeYg9cWA4hyIWcxfaeX64pwo1c&ab_channel=chshersh

[slides]: https://slides.com/haskellbeginners2022

[exercises]: https://github.com/haskell-beginners-2022/exercises



The course is entirely free!






Below you can find the plan for each individual lecture with the

corresponding links to learning materials.



## 🏡 Lecture 1: Fundamentals



* What is Functional Programming?

* FP concepts

* Haskell features

* Haskell toolchain: GHC, GHCi, ghcup, cabal, hls

* How to install Haskell?

* GHCi

  * Arithmetic expressions

  * Comparison operators

  * Boolean expressions

  * Calling functions

* Types

  * `:t` command in GHCi

  * Types of booleans, numbers, and functions

* Lists and operations with them

  * Prepending, concatenation

  * Standard list functions

  * Ranges

* Laziness

* String

* Syntax constructions

  * Defining our own functions

  * packages, modules, imports

  * `if-then-else`

  * guards

  * `let-in`

  * `where`

* Immutability

* Recursion

* Higher-Order Functions (HOF)

  * Functions as first-class values

  * Lambda functions

  * Partial application

  * `map`, `filter`, etc.



🎞 Slides: https://slides.com/haskellbeginners2022/lecture-1



📽 Video: [Haskell Beginners 2022: Lecture 1](https://www.youtube.com/watch?v=6MsQcUprO9o)



## 🏗 Lecture 2: Data types



* Pattern-matching

  * Top level

  * `case-of`

  * List patterns

  * Recursion and pattern matching

  * Pattern-matching pitfalls

* Totality

* Tuples

* Algebraic Data Types

  * Product types

  * Sum types

* Data types in Haskell

  * `data`

  * Simple product types

  * Records

  * Enumerations

  * Simple sum types

  * Recursive data types

  * `type`

  * `newtype`

* Polymorphism

  * Parametric polymorphism

  * Types of standard functions

  * Hoogle

  * Polymorphic data types

  * Standard polymorphic data types

* Eta-reduction

* Function composition: dot operator `(.)`



🎞 Slides: https://slides.com/haskellbeginners2022/lecture-2



📽 Video: [Haskell Beginners 2022: Lecture 2](https://www.youtube.com/watch?v=rf-lie7U04Q)



## 🎮 Lecture 3: Typeclasses



* Parametric polymorphism vs Ad-hoc polymorphism

* Typeclasses

  * `class`

  * `instance`

  * Default methods

  * `{-# MINIMAL #-}`

  * Small typeclasses vs Big typeclasses

* Language Extensions

  * `{-# LANGUAGE InstanceSigs #-}`

* Standard typeclasses

  * `Eq`

  * Haskell Equality Table

  * `Ord`

  * `Num`

* `deriving`

  * Stock derivable typeclasses

  * `{-# LANGUAGE GeneralizedNewtypeDeriving #-}`

* Algebraic typeclasses

  * `Semigroup`

  * `Monoid`

  * Laws

* Kinds

* `Functor`

* Folds

  * `foldr`

  * `foldl`

  * `foldl'`

  * `foldr` vs `foldl'`

  * `Foldable`

* Strict and Lazy evaluation

  * Lazy evaluation

  * Tail Call Optimization (TCO)

  * Equational reasoning

  * `{-# LANGUAGE BangPatterns #-}`



🎞 Slides: https://slides.com/haskellbeginners2022/lecture-3



📽 Video: [Haskell Beginners 2022: Lecture 3](https://www.youtube.com/watch?v=Vs-vvlYLtRI)



## 🔈🎤 Lecture 4: Monads and IO



* Monad example

  * `andThen` for `Maybe`, `Either` and list

* Monad as programming pattern

* `Monad`

  * The typeclass

  * Instances

  * Laws

  * Usage example

* **FAM**ily: `Functor`, `Applicative`, `Monad`

* Purity

* Why Purity + Laziness is a problem for side effects?

* `IO`

  * Why does IO require a monad?

  * `String` vs `IO String`

  * `getLine`

  * `putStrLn`

  * `Main` and `main`

* _Then_ operator: `>>`

* `do`-notation

* Cabal

  * Packages

  * `build-depends`

* Functional Core, Imperative Shell



🎞 Slides: https://slides.com/haskellbeginners2022/lecture-4



📽 Video: [Haskell Beginners 2022: Lecture 4](https://www.youtube.com/watch?v=12D4Y2Hdnhg)



## What's next?



After you've finished the course, you may be interested in the

following resources to continue your FP and Haskell journey:



* [Learn Haskell by building a blog generator](https://lhbg-book.link/):

  A project-based course that teaches pragmatic Haskell by building a

  blog generator from scratch.

* [Haskell in Depth](https://www.manning.com/books/haskell-in-depth):

  A book about intermediate Haskell topics such as Monad Transformers,

  metaprogramming, testing, logging, and performance analysis.

* [Functional Design and Architecture ](https://www.manning.com/books/functional-design-and-architecture):

  Design patterns and architectures for building production quality

  applications using functional programming, with examples in Haskell

  and other FP languages.

* [Haskell Study Plan](https://github.com/soupi/haskell-study-plan):

  More links on different topics and examples of real-world Haskell

  projects.

* [Awesome List of Haskell mentors](https://github.com/willbasky/Awesome-list-of-Haskell-mentors):

  A list of Haskell projects and mentors willing to help you master Haskell.