Road to LISP heaven

Transcript

1. Road to LISP heaven

2. The ((( ))) language

3. The ((( ))) language

4. Why talk about LISP? • Want to learn more about

   programming languages • Understand why we do something today • What is the purpose and behavior with something • It’s fun, why no? :)

5. What is this talk about? • Language history • Context

   about design decisions • Understand which LISP concepts are good for • Think about new data reference patterns ready • No rants plz

6. History/Context

7. • Let’s travel to 1930s

8. • Let’s travel to 1930s • New Princeton offices

9. • Let’s travel to 1930s • New Princeton offices •

   Alonzo Church

10. • Let’s travel to 1930s • New Princeton offices •

    Alonzo Church • Lambda Calculus

11. • Let’s travel to 1930s • New Princeton offices •

    Alonzo Church • Lambda Calculus • World War II

12. • Let’s travel to 1930s • New Princeton offices •

    Alonzo Church • Lambda Calculus • World War II • Electronic Discrete Variable Automatic Computer (EDVAC)

13. • Let’s travel to 1930s • New Princeton offices •

    Alonzo Church • Lambda Calculus • World War II • Electronic Discrete Variable Automatic Computer (EDVAC) • 1958 unveiled List Processing language (Lisp)

14. Learn to read LIPS in one example

15. f(4, 2)

16. (f 4, 2)

17. (60 * 9 / 5) + 32

18. (+ (* (/ 9 5) 60) 32)

19. You already know LISP :)

20. (+ 2 2)

21. 4

22. (= (+ 2 2) (* 2 2))

23. True

24. (first (list ‘a ‘b ‘c))

25. a

26. (define patacones 6) (define chorizos 5) (if (> patacones chorizos)

    (printf "Patacones!") (printf “Chorizos!”))

27. Patacones!

28. ((define (dbl x) (* 4 x)) (dbl 10)

29. 40

30. Interesting facts about LISP • Comments are made using ;

    • Defined only atom, eq, cons, car, and cdr • Functions were intended to create the whole language

31. What made LISP “different”?

32. • Conditionals

33. • Conditionals • A function type

34. • Conditionals • A function type • Recursion

35. • Conditionals • A function type • Recursion • New

    concept of variables

36. • Conditionals • A function type • Recursion • New

    concept of variables • Garbage Collection

37. • Conditionals • A function type • Recursion • New

    concept of variables • Garbage Collection • Composed expressions

38. • Conditionals • A function type • Recursion • New

    concept of variables • Garbage Collection • Composed expressions • Literal data structures

39. (macros) You can change the language, implement your own features,

    or even write a new programming language

40. Scheme vs Common lisp

41. Common Lisp

42. Scheme

43. Functional Programming & Lambda calculus & LISP

44. • Not all lambda calculus ideas transform to practice •

    Functional programming is a set of ideas, not a set of strict guidelines • Concurrency is a win

45. Thanks Giovanny Gongora @Gioyik