1 / 13

Evolution of programming languages

Evolution of programming languages. Machine language Assembly language Sub-routines and loop (Fortran) Procedures and recursion (Algol, Pascal, C) Modules (Modula-2, Ada) Objects (Simula, Smalltalk, C++,Java) Declarative programming languages (Prolog, CLP, Lisp, ML, Haskall).

Télécharger la présentation

Evolution of programming languages

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Evolution of programming languages • Machine language • Assembly language • Sub-routines and loop (Fortran) • Procedures and recursion (Algol, Pascal, C) • Modules (Modula-2, Ada) • Objects (Simula, Smalltalk, C++,Java) • Declarative programming languages (Prolog, CLP, Lisp, ML, Haskall) presented by Neng-Fa Zhou

  2. Programming language spectrum • Declarative • Logic and constraint-based (Prolog, CLP(FD)) • Functional (Lisp/Scheme, ML, Haskell) • Dataflow (Id, Val) • Template-based (XSLT) • Database (SQL) • Imperative • von Neumann (C, Ada, Fortran, Pascal,…) • Scripting (Perl, Python, PHP,…) • Object-oriented (Smalltalk, Effel, C++, Java, C#) presented by Neng-Fa Zhou

  3. Imperative • Features • Variables are mnemonics of memory locations • Assignment statements • goto • Iterative constructs presented by Neng-Fa Zhou

  4. Object-oriented • Features • Abstract data types • Inheritance and overriding • Polymorphism • Dynamic binding presented by Neng-Fa Zhou

  5. Functional • Features • Single assignment variables (no side effects) • Recursion • Rule-based and pattern matching (ML, Haskell) • High-order functions • Lazy evaluation (Haskell) • Meta-programming (Scheme) presented by Neng-Fa Zhou

  6. Stack in Scheme (define stack_push (lambda (s x) (cons x s))) (define stack_peek (lambda (s) (if (eq? s ()) (raise "empty stack") (car s)))) (define stack_pop (lambda (s) (if (eq? s ()) (raise "empty stack") (cdr s)))) presented by Neng-Fa Zhou

  7. Stack in Haskell stack_push s x = (x:s) stack_peek (x:_) = x stack_pop (_:s) = s presented by Neng-Fa Zhou

  8. Append in Haskell append :: [a] -> [a] -> [a] append [] ys = ys append (x:xs) ys = x : append xs ys presented by Neng-Fa Zhou

  9. Stack in SML/NJ fun stack_push s x = (x::s) fun stack_peek (x::s) = x fun stack_pop (_::s) = s presented by Neng-Fa Zhou

  10. F# let stack_push s x = x :: s let stack_peek s = match s with | x :: _ -> x let stack_pop s = match s with | _ ::s -> s presented by Neng-Fa Zhou

  11. Logic & constraint-based • Features • Logic variables • Recursion • Unification • Backtracking • Meta-programming presented by Neng-Fa Zhou

  12. Stack in Prolog stack_push(S,X,[X|S]). stack_pop([X|S],X,S). presented by Neng-Fa Zhou

  13. Append in Prolog append([],Ys,Ys). append([X|Xs],Ys,[X|Zs]):- append(Xs,Ys,Zs). presented by Neng-Fa Zhou

More Related