Exercise 1.8 - Type Checking (Benno)

# entropy of a prob distribution (given as a list) def H(distr): n = len(distr) s = 0 for i in range(n): p = distr[i] if p <> 0: s = s - p*log(p,2) return s # return int(s) # return real(s) 

H([0.25,0.25,0.25,0.25,0]); 

2.00000000000000

2.00000000000000

# 

s = "sage"; type(s) s = 'sage'; type(s) # you can use either single or double quotes 

<type 'str'>

<type 'str'>

s = [1,2,3,4]; type(s) 

<type 'list'>

<type 'list'>

s = (1,2,3,4); type(s) 

<type 'tuple'>

<type 'tuple'>

s = int(2006); type(s) 

<type 'int'>

<type 'int'>

s = float(2006); type(s) 

<type 'float'>

<type 'float'>