Road to LISP heaven

Presented: Pataconf 2018

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)
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)
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