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CS61A: Lecture 22

Lecture Tree Class A Tree has a label and a list of branches; each branch is also a Tree class Tree: def __init__(self, label, branches=[]): self.label = label for branch i...

CS61A: Lecture 23

Measuring Efficiency Efficiency is the measure of how long our program would take to run. Ex: The recursive computation of the fibonacci sequence def fib(n): if n == 0: return 0 ...

CS61A: Efficiency

Measuring Efficiency Efficiency is the measure of how long our program would take to run. Ex: The recursive computation of the fibonacci sequence def fib(n): if n == 0: return 0 ...

CS61A: Composition

Linked Lists A type of recursive data structure that stores a sequence of values. A linked list is either empty a first value and the rest of the linked list Thus, a...

CS61A: Representation

String Representations An object value should behave like the kind of data it is meant to represent Part of this ability is to provide a string representation of a program T...

CS61A: Inheritance

Inheritance A method for relating classes together. A common use case is two similar classes that differ in their degree of specialization The specialized class has same attributes as a gene...

CS61A: Lecture 21

Lecture Composition A linked list is a recursive data structure that represents a sequence. List Efficiency - Fast Appending, assigning, and list comprehensions are fast The...

CS61A: Attributes

Attributes Method Calls Method calls differ from function calls because they are invoked with dot notation. <expression>.<name> The <expression> can be any va...

CS61A: Objects

Object-Oriented Programming OOP provides a method for organizing large programs large programs can be organized into small, modular components that can be developed at ones. Ext...

CS61A: Lecture 17

Objects Review - Mutability What would be the final values of the names defined within this code segment? def func1(lst1): lst1 = lst1[0:-1] return lambda lst: lst + lst1 def func2(ls...