Introduction to Lisp Programming - PowerPoint PPT Presentation

About This Presentation
Title:

Introduction to Lisp Programming

Description:

Lisp programmers love Lisp 'Perhaps I like Lisp because of some ... Cygwin or Unix/Linux prompt. Emacs. Getting Started - Examples. Numeric Literals. Characters ... – PowerPoint PPT presentation

Number of Views:1849
Avg rating:3.0/5.0
Slides: 27
Provided by: youngro
Learn more at: http://www.cs.ucf.edu
Category:

less

Transcript and Presenter's Notes

Title: Introduction to Lisp Programming


1
Introduction to Lisp Programming
  • Merrill McKee TA
  • merrillmck_at_yahoo.com

2
Why learn about Lisp?
  • Lisp programmers love Lisp
  • Perhaps I like Lisp because of some quirk in the
    way my brain is wired. Peter Seibel
  • Still used in industry
  • As extendable and as fast 1 as other languages
  • Stable, powerful
  • Web, GUI, open source libraries
  • Read-eval-print loop (REPL)
  • NASAs 1998 Deep Space 1 mission
  • Common in Artificial Intelligence
  • PhD qualifying exam
  • Or just for your grade on homework 2 and COP
    4020 exams

References on last slide
3
Common Lisp
  • Common Lisp, a dialect of Lisp, is the language
    specification that was attempted in the 1980s to
    standardize existing Lisp variants
  • Scheme
  • Later standardized by ANSI X3.226-1994
  • Your homework assignment will be done in Common
    Lisp

4
Getting Started (link for more info)
  • Countless Lisp development environments

Cygwin or Unix/Linux prompt
Emacs
Lispworks
Eclipse w/ plugin
5
Getting Started - Examples
  • Numeric Literals
  • Characters
  • Strings
  • Functions
  • Functions
  • Macros
  • Special Operators

6
Numeric Literals
7
Oops (the debugger)
8
Defining Functions
  • Fundamental building block for Lisp programs
  • Most common type of Lisp test question!
  • Define a function that

9
History of Lisp
  • Created by John McCarthy in the late 1950s
  • Published in 1960
  • Championed mathematical logic to study artificial
    intelligence
  • Main idea was to study computability from a
    functional programming standpoint
  • Common Lisp now supports object oriented,
    imperative, and functional programming

10
Lambda Calculus
  • Invented by Church and Kleene in the 1930s
  • Can be used to define what a computable function
    is
  • Influenced functional programming languages such
    as Lisp, ML, and Haskell
  • f(x) x 2 or lambda x . x 2
  • Binds functions to names
  • Gives a natural representation for recursion

11
Lisp Lambda Functions
  • (lambda lambda-list body)
  • Similar to lambda calculus expr.
  • lambda x . x 2

12
Fundamental Data Types
  • Two fundamental data types
  • Atoms
  • An atom is an alphanumeric string, used either as
    a variable name or a data item
  • Lists
  • A list is a sequence of elements, where each
    element is either an atom or a list
  • Common Lisp also provides
  • Vectors
  • Hash tables
  • I/O
  • Arrays and Multi-dimensional arrays

13
The Interpreter
  • In 1965 McCarthy developed a function called
    eval used to evaluate other functions (an
    interpreter).
  • It is a read-evaluate-write infinite loop.
  • Expressions are interpreted by the function
    eval.
  • Literals are evaluated to themselves. For
    example, if you type in 5, the interpreter will
    return 5.
  • Expressions that are calls to primitive functions
    are evaluated as follows
  • Each parameter is evaluated first.
  • The primitive function is applied to the
    parameter values.
  • The result is displayed.

14
Eval Function
15
Sample Problems
  • What do the following evaluate to?
  • (Use your intuition and guess. No grade here.
    In the spirit of the class, please come up with
    an answer before using your laptop to find a
    solution.)
  • ( (3 2))
  • (if (lt 2 3) (print Yes) (print No))
  • (if (lt 2 3) (print 1) (print 2) (print 3))
  • z
  • (x 1 foo) or (x 1 foo)
  • ()
  • ( 1)
  • (dotimes (x 2) (print x))
  • (null nil)
  • ()
  • (sort (1 2 3) gt)
  • (eq 1 1.0) .. (eql 1 1.0) (equal 1 1.0)
    (equalp 1 1.0)

16
Binding Names to Functions
  • Define or defun is used to bind a name to a
    value or a lambda expression.
  • Depends on the Lisp environment
  • Format
  • (defun (function_name parameters)
    ltexpression(s)gt)
  • Formally - defun name lambda-list
    declaration doc-string form
  • Example
  • (defun (square num) ( num num))

17
Binding Names to Functions (cont)
  • Once the function is evaluated by the
    interpreter, it can be used as in (square 7) 49
  • Example
  • (define (hypotenuse side1 side2)
  • (sqrt ( (square side1) (square side2))))

18
Binding Names to Values
  • (define pi 3.14)
  • (define twopi ( 2 pi))
  • Once these two expressions are typed in to the
    Lisp interpreter, typing pi will return 3.14.
  • Names consist of letters, digits, and special
    characters (except parenthesis) but cannot begin
    with a digit.

19
If
  • John McCarthy invented the if-then-else construct
    we take for granted. It was incorporated into
    Algol.
  • (if condition then-form else-form)
  • The then-form and optional else-form are
    restricted to a single lisp form. To create a
    code block use the progn function.
  • Alternatively, use when and unless macros.

20
If (Cond)
  • Cond is a macro to handle multiple nested if
    statements.
  • (cond
  • (test-1 form)
  • (test-n form))

21
If
22
If
23
Setf
  • Binds a value to a location/variable
  • (setf place value)

24
Sample problem
  • How would you reverse a list? Do you have enough
    tools yet to define this function?
  • Without using the built-in reverse function
  • (defun reverse-list (list) )
  • What do you need?
  • Need to get an element from the list
  • Need to build and save a new list
  • Need to do it in reverse order

25
My-reverse
  • http//mwolson.org/notes/wikisource/CommonLispBegi
    nnersGuide.muse

26
References For These Slides
  • UCF Library about 20-25 books in the QA 76.73
    .L23 shelf.
  • Practical Common Lisp by Peter Seibel
  • Common Lisp The Language by Guy
  • Steele, Jr.
  • Dr. Montagnes UCF COP 4020 Slides
  • Websites
  • http//mypage.iu.edu/colallen/lp/ concise and
    readable
  • http//www.cs.cmu.edu/Groups/AI/html/cltl/clm/node
    1.html extensive but harder to read
  • http//www.google.com
Write a Comment
User Comments (0)
About PowerShow.com