Python – May 19 Review –What is the difference between: list, tuple, set, dictionary? –When is it appropriate to use each? Creating our own data types: classes/objects Reminder: “meeting” program due tomorrow

Paradigms Note that there are 3 ways to approach programming Procedural – follow definition of program: list of operations to perform: verb focus Object oriented – noun focus: define a type with its attributes and operations Functional – everything is a function call; loops written as recursion

OO A different way to approach problem solving – think about the nouns first. Python supports OO design. –We can define attributes & operations that belong to instances of the class. Everything is public – no information hiding.

Example class Rectangle: length = 4# Static & default values width = 3 def area(self): return self.length * self.width # r = Rectangle() print r.length print r.area()

Example (2) More realistic to allow instances to be different! To initialize attributes, use special function called __init__ class Triangle: def __init__(self, side1, side2, side3): self.a = side1 self.b = side2 self.c = side3 def perimeter(self): return self.a + self.b + self.c t = Triangle(3,4,5) print t.perimeter()

Notes Python not the best language for true OO. Unfortunately, can’t have more than 1 “constructor” When you call an instance method, you literally pass it with 1 fewer parameter than in the declaration – leave off the “self”. definition: def giveRaise(self, percent): … call: bob.giveRaise(4)

Careful! class Rectangle: length = 4 width = 3 def __init__(self, L, W): self.length = L self.width = W # r1 = Rectangle(10, 8) print Rectangle.length# equals 4 print r1.length# equals 10 Moral – if you have some static values you want to share, don’t confuse yourself by using same name as attribute. Now you see why we always use “self”.