Cobol, lisp, and python

May 6, 2016Download as pptx, pdf0 likes77 views

The document provides information on three programming languages: COBOL, LISP, and Python. COBOL was released in 1959 and was used for 80% of business transactions due to its reliability. LISP was the second high-level language created in 1958 and introduced innovations like garbage collection and recursion using linked lists. Python was developed in the 1990s and prioritizes readability through features like whitespace and a simple grammar.

COBOL Background
 Released in 1959
 Grace Hopper
 Industry, universities, and government collaboration
 Cold War pressures
 80% of business transactions
 65% of all code is in COBOL

COBOL – Why?
 Software Lifecycle
 Cheaper to maintain
 Y2K
 Self-documenting code
 Verbose
 “IF a < b AND > c …”
 Divisions

COBOL – Why?
 Divisions
 Identification Division
 Environment Division
 Data Division
 Procedure Division

COBOL – Data Division
 Data Division
 Pictures
 9 = digit
 X = any character
 A = alphabetic character
 V = decimal point position
 S = sign
 Repeats
 PIC 9 (4) = 9999

COBOL
 Reliability
 Stood test of time
 Has “ALTER X TO PROCEED TO Y” (a negative)
 Uses GOTO statements (a negative)
 Today
 Cross platform: OpenCOBOL C translation
 IDEs (Net Express)

COBOL - Summary
 Readability
 Writability
 Reliability
 Portability

LISP
 LISt Processing
 List-based language
 2nd High-level language
 1958 – John McCarthy for MIT

LISP - Syntax
 Function call: “(fun arg1 arg2)”
 (+ 1 2 3)
 Lists
 (list ‘3 ‘7 ‘apples)
 (3 7 apples)
 (list ‘13 list(‘3 ‘5))
 (13 (3 5))

LISP – Innovations
 Garbage Collection
 If else statements
 Recursion

LISP – Linked Lists
 Car (first)
 Cdr (rest)

LISP - Examples
 If then else
 (if nil
(list ‘2 ‘3)
(list ‘5 ‘6))
 One line variant:
 (if nil (list ‘2 ‘3) (list ‘5 ‘6))

LISP - Examples
 Factorial
 (defun factorial (n)
(if (<= n 1)
1
(* n (factorial (- n 1)))))
 One line variant:
 (defun factorial (n) (if (<= n 1) 1 (* n (factorial (- n 1)))))

LISP - Examples
 Recursive List Size
 (defun recursiveSize (L)
(if (null L)
0
(1+ (recursiveSize(rest L)))))

LISP - Examples
 Recursive List Sum with “LET”
 (defun sum (L)
(if (null L)
0
(let
((S1 (first L))
(S2 (sum (rest L))))
+ S1 S2)))

LISP- Summary and Comparison
 Readability
 Writability
 Reliability

Python
 Developed early 1990’s
 Guido van Rossum
 ABC language
 Python 2.0
 2000
 Community-supported -> reliability
 Modular; community expandable
 Python 3.0
 2008

Python – Readability is Key
 Design goal
 One way to do things
 Clarity over clever code
 Whitespace over braces
 “pass” for No-Op

Python
 Writability
 Similar to other OO languages
 Verification support
 Interpreted, assert, no statements in conditions
 Clean style
 Few keywords
 Simple grammar -> few ways to do something

Python
 Comparisons
 == tests values, not references
 A < b <= C works properly
 Ternary operator readable
 “a if b else c”

Python
 System Requirements
 Cross platform
 Python Interpreter
 Simplicity
 Small core language
 Large libaraies

Python - Examples
 a = 15
if(a < 10):
print(“input less than 10”)
elif(10 < a < 20):
print(“input between 10 and 20”)
else:
print(“input greater than 20”)

Python - Examples
 Function definition
def greatest(a, b, c):
largest = a if a > b else b
largest = largest if largest > c else c
print(largest)
 Function call
greatest(7, 3, 14)
14

Python - Examples
 Determine if prime
def isPrime(num):
prime = True
for i in range(2, (num / 2) + 1):
if num % i == 0:
prime = False
return prime

def tenPrimes():
list = []
count = 0
current = 2
#store the first 10 primes in a list
while count < 10:
if isPrime(current):
count += 1
list.append(current)
current = current + 1
#print the list
for element in list:
print(element)

Python - Summary and Comparison
 Readability
 Writability
 Reliability

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Abstract classes and interfaces allow for abstraction and polymorphism in object-oriented design. Abstract classes can contain both abstract and concrete methods, while interfaces only contain abstract methods. Abstract classes are used to provide a common definition for subclasses through inheritance, while interfaces define a contract for implementing classes to follow. Both support polymorphism by allowing subclasses/implementing classes to determine the specific implementation for abstract methods.

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Cobol, lisp, and python

1. COBOL Background  Released in 1959  Grace Hopper  Industry, universities, and government collaboration  Cold War pressures  80% of business transactions  65% of all code is in COBOL

2. COBOL – Why?  Software Lifecycle  Cheaper to maintain  Y2K  Self-documenting code  Verbose  “IF a < b AND > c …”  Divisions

3. COBOL – Why?  Divisions  Identification Division  Environment Division  Data Division  Procedure Division

4. COBOL – Data Division  Data Division  Pictures  9 = digit  X = any character  A = alphabetic character  V = decimal point position  S = sign  Repeats  PIC 9 (4) = 9999

6. COBOL – Groups and Elementary data

8. COBOL  Reliability  Stood test of time  Has “ALTER X TO PROCEED TO Y” (a negative)  Uses GOTO statements (a negative)  Today  Cross platform: OpenCOBOL C translation  IDEs (Net Express)

9. COBOL - Summary  Readability  Writability  Reliability  Portability

10. LISP  LISt Processing  List-based language  2nd High-level language  1958 – John McCarthy for MIT

12. LISP - Syntax  Function call: “(fun arg1 arg2)”  (+ 1 2 3)  Lists  (list ‘3 ‘7 ‘apples)  (3 7 apples)  (list ‘13 list(‘3 ‘5))  (13 (3 5))

13. LISP – Innovations  Garbage Collection  If else statements  Recursion

14. LISP – Linked Lists  Car (first)  Cdr (rest)

16. LISP - Examples  If then else  (if nil (list ‘2 ‘3) (list ‘5 ‘6))  One line variant:  (if nil (list ‘2 ‘3) (list ‘5 ‘6))

17. LISP - Examples  Factorial  (defun factorial (n) (if (<= n 1) 1 (* n (factorial (- n 1)))))  One line variant:  (defun factorial (n) (if (<= n 1) 1 (* n (factorial (- n 1)))))

18. LISP - Examples  Recursive List Size  (defun recursiveSize (L) (if (null L) 0 (1+ (recursiveSize(rest L)))))

19. LISP - Examples  Recursive List Sum with “LET”  (defun sum (L) (if (null L) 0 (let ((S1 (first L)) (S2 (sum (rest L)))) + S1 S2)))

20. LISP- Summary and Comparison  Readability  Writability  Reliability

21. Python  Developed early 1990’s  Guido van Rossum  ABC language  Python 2.0  2000  Community-supported -> reliability  Modular; community expandable  Python 3.0  2008

22. Python – Readability is Key  Design goal  One way to do things  Clarity over clever code  Whitespace over braces  “pass” for No-Op

23. Python  Writability  Similar to other OO languages  Verification support  Interpreted, assert, no statements in conditions  Clean style  Few keywords  Simple grammar -> few ways to do something

24. Python  Comparisons  == tests values, not references  A < b <= C works properly  Ternary operator readable  “a if b else c”

25. Python  System Requirements  Cross platform  Python Interpreter  Simplicity  Small core language  Large libaraies

26. Python - Examples  a = 15 if(a < 10): print(“input less than 10”) elif(10 < a < 20): print(“input between 10 and 20”) else: print(“input greater than 20”)

27. Python - Examples  Function definition def greatest(a, b, c): largest = a if a > b else b largest = largest if largest > c else c print(largest)  Function call greatest(7, 3, 14) 14

28. Python - Examples  Determine if prime def isPrime(num): prime = True for i in range(2, (num / 2) + 1): if num % i == 0: prime = False return prime

29. def tenPrimes(): list = [] count = 0 current = 2 #store the first 10 primes in a list while count < 10: if isPrime(current): count += 1 list.append(current) current = current + 1 #print the list for element in list: print(element)

30. Python - Summary and Comparison  Readability  Writability  Reliability

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