part1.py

# -*- coding: utf-8 -*-
"""
Created on Thu Jun  1 20:49:45 2017

@author: ben
"""
#import random
#
## write a guessing game
#
#target_number = random.randint(1,100)# random number between 1 and 100
#
#guess = -1
#
#while guess != target_number:
#    guess = input('Enter your number: ')
#
#    if guess == target_number:
#        print "Correct!"
#    elif guess < target_number:
#        print "You guessed too low"
#    else:
#        print "Your guess was too high"

def mean(mynumbers):
    return sum(mynumbers)/float(len(mynumbers))
#
#def print_student_summary(nums):
#    print 'Biggest number is: ' + str(max(nums))
#    print 'Smallest number is: ' + str(min(nums))
#    print 'Mean number is: ' + str(mean(nums))
#
#    print sorted(nums)
    
#grades = {
#    'Ben': [80, 90, 100],
#	'Zach': [70, 85, 50],
#	'Meghan': [100, 90, 15, 90]
# 
#}
#for key in grades.keys():
#    print 'Report for: ' +  key
#    print_student_summary(grades[key])
#    

class Student(object):
    
    def __init__(self, name, grades, school):
        self.name = name
        self.grades = grades
        self.school = school
        
    def print_student_summary(self):
        print 'Biggest number is: ' + str(max(self.grades))
        print 'Smallest number is: ' + str(min(self.grades))
        print 'Mean number is: ' + str(mean(self.grades))
    
        print sorted(self.grades)

class TestSchoolStudent(Student):
    def __init__(self, name, grades):
        self.school = 'My Test School'

        super(TestSchoolStudent, self).__init__(name, grades, self.school)
        

ben = TestSchoolStudent('Ben Cohen', [100, 96, 72])
ben.print_student_summary()
print ben.school

part2.py

# -*- coding: utf-8 -*-
"""
Created on Thu Jun  8 21:46:30 2017

@author: ben
"""
import csv
from first_class import mean

import matplotlib.pyplot as plt

myfile = open('train.csv')

def predict(datapoint):
    # take in a datapoint, return a prediction
    # of whether or not that passenger survived
    
    pclass = int(datapoint['Pclass'])
    age = fix_age(datapoint['Age'])
    if age < 10:
        return True
    else:
        if pclass == 1:
            return True
        else:
            return False

def fix_age(value):
    if value == '':
        return 29.5
    else:
        return float(value)
        
#yesses = []
#nos = []
predictions = []
corrects = []

mycsvreader = csv.DictReader(myfile)
for line in mycsvreader:
    survived= line['Survived']
#    pclass = line['Pclass']
    age = fix_age(line['Age'])
    if survived == '1':
        corrects.append(True)
#        yesses.append(int(age))
    else:
        corrects.append(False)
#        nos.append(int(age))
    predictions.append(predict(line))
    
#plt.hist(nos)
#plt.show()

#plt.hist(nos)
#plt.show()
#print 'Average age of survival: ' + str(mean(yesses))
#print 'Average age of non-survival: ' + str(mean(nos))

num_correct = 0.0
for x in range(len(predictions)):
    if predictions[x] == corrects[x]:
        num_correct += 1  # same thing as num_correct = num_correct + 1
print 'You got ' + str(num_correct/len(predictions)) + ' right'