Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.

Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.

Successfully reported this slideshow.

Like this presentation? Why not share!

1,598 views

Published on

It shows basic Haskell concepts, currying and functors.

Published in:
Software

No Downloads

Total views

1,598

On SlideShare

0

From Embeds

0

Number of Embeds

243

Shares

0

Downloads

33

Comments

0

Likes

2

No embeds

No notes for slide

- 1. Introduction to Haskell Luca Molteni Haskell ITA Meeting 17/10/2015
- 2. Topics Basic Concepts Currying Functors
- 3. • Functions are ﬁrst-class, that is, functions are values which can be used in exactly the same ways as any other sort of value. • The meaning of Haskell programs is focused around evaluating expressions rather than executing instructions.
- 4. 3 * (9 + 5) => 3 * 14 => 42
- 5. 3 * (9 + 5) => 3 * 9 + 3 * 5 => 27 + 3 * 5 => 27 + 15 => 42
- 6. simple x y z = x * (y + z)
- 7. simple 3 9 5 => 3 * (9 + 5) => 3 * 14 => 42
- 8. “An expression is said to be referentially transparent if it can be replaced with its value without changing the behavior of a program (in other words, yielding a program that has the same effects and output on the same input).” Referential transparency
- 9. simple a b c = simple a c b
- 10. simple a b c => { unfold } a * (b + c) => { commutativity } a * (c + b) => { fold } simple a c b
- 11. x = x + 1
- 12. x = x + 1 x => x + 1 => (x + 1) + 1 => ((x + 1) + 1) +1 => (((x + 1) +1) +1) +1 ...
- 13. “Because a referentially transparent expression can be evaluated at any time, it is not necessary to deﬁne sequence points nor any guarantee of the order of evaluation at all. Programming done without these considerations is called purely functional programming.” Referential transparency
- 14. totalArea r1 r2 r3 = pi * r1 ^ 2 + pi * r2 ^ 2 + pi * r3 ^ 2 Sum of the areas of three circles with radii r1, r2, r3
- 15. circleArea r = pi * r ^ 2 totalArea r1 r2 r3 = circleArea r1 + circleArea r2 + circleArea r3 Sum of the areas of three circles with radii r1, r2, r3
- 16. r1 = 3 r2 = 4 r3 = 5 radii = r1 : r2 : r3 : [] Sum of the areas of n circles?
- 17. radii :: [Float] radii = r1 : r2 : r3 : [] Sum of the areas of n circles?
- 18. List data List a = [] | a : List a
- 19. totalArea :: [Float] -> Float totalArea [] = 0 Sum of the areas of three circles with radii r1, r2, r3
- 20. totalArea :: [Float] -> Float totalArea [] = 0 totalArea (x : xs) = circleArea x + totalArea xs Sum of the areas of three circles with radii r1, r2, r3
- 21. square :: [Int] -> [Int] square [] = [] square (x : xs) = (x ^ 2) : square xs Square of list
- 22. Map map :: (a -> b) -> [a] -> [b]
- 23. totalArea :: [Float] -> [Float] totalArea = map circleArea Sum of the areas of three circles with radii r1, r2, r3
- 24. totalArea :: [Float] -> Float totalArea = sum . map circleArea Sum of the areas of three circles with radii r1, r2, r3
- 25. Currying
- 26. simple :: (Int -> Int -> Int) -> Int simple (x y z) Currying
- 27. simple :: Int -> Int -> Int -> Int simple x y z = x * ( y + z) (((simple x) y) z) Currying
- 28. simple 5 Partial Application
- 29. simple 5 :: Int -> Int -> Int simple 5 Partial Application
- 30. simple :: Int -> Int -> Int -> Int simple 5 :: Int -> Int -> Int simple 5 2 :: Int -> Int simple 5 2 3 :: Int Partial Application
- 31. Point free programming Tacit programming (point-free programming) is a programming paradigm in which a function deﬁnition does not include information regarding its arguments, using combinators and function composition [...] instead of variables.
- 32. Point free programming map (x -> increment x) [2,3,4] [3,4,5] map increment [2,3,4] [3,4,5] map (x -> x + 1) [2,3,4] [3,4,5] map (+1) [2,3,4] [3,4,5] increment :: Int -> Int increment x = x + 1
- 33. Point free programming mf criteria operator list = filter criteria (map operator list) mf = (. map) . (.) . filter
- 34. Functors
- 35. Functors map :: (a -> b) -> [a] -> [b] data List a = [] | a : List a
- 36. Functors treeMap :: (a -> b) -> Tree a -> Tree b data Tree a = Leaf a | Branch (Tree a) (Tree a)
- 37. Functors treeMap :: (a -> b) -> Tree a -> Tree b map :: (a -> b) -> [a] -> [b]
- 38. Functors thingMap :: (a -> b) -> f a -> f b
- 39. Functors A typeclass is a class of types that behave similarly.
- 40. Functors class Functor f where fmap :: (a -> b) -> f a -> f b
- 41. Functors instance Functor [] where fmap = map
- 42. Functors / Maybe data Maybe a = Just a | Nothing
- 43. Functors instance Functor Maybe where fmap _ Nothing = Nothing fmap f (Just a) = Just (f a)
- 44. Functors / Maybe fmap (* 2) (Just 2) Just 4 fmap (+ 5) (Just 2) Just 7 fmap (+ 5) (Nothing) Nothing
- 45. The End @volothamp It’s not about the destination. It’s about the journey.

No public clipboards found for this slide

Be the first to comment