coutinhocf

# week_temps_f is a string with a list of fahrenheit temperatures separated by the , sign.
# Write code that uses the accumulation pattern to compute the average (sum divided by number of items) and assigns it to avg_temp.
# Do not hard code your answer (i.e., make your code compute both the sum or the number of items in week_temps_f)
# (You should use the .split(",") function to split by "," and float() to cast to a float).

week_temps_f = "75.1,77.7,83.2,82.5,81.0,79.5,85.7"

avg_temp = 0.0

for i in week_temps_f:

coutinhocf

# addition_str is a string with a list of numbers separated by the + sign.
# Write code that uses the accumulation pattern to take the sum of all of the numbers and assigns it to sum_val (an integer).
# (You should use the .split("+") function to split by "+" and int() to cast to an integer).

addition_str = "2+5+10+20"
sum_val = 0

for i in addition_str:
    sum_val = sum(map(int,addition_str.split("+")))
    print(sum_val)

coutinhocf

# Write code to count the number of characters in original_str using the accumulation pattern and assign the answer to a variable num_chars.
# Do NOT use the len function to solve the problem (if you use it while you are working on this problem, comment it out afterward!)

original_str = "The quick brown rhino jumped over the extremely lazy fox."
num_chars = 0

for i in original_str:
    num_chars = num_chars + 1
    print(num_chars)

coutinhocf

# Write code that counts the number of words in sentence that contain either an “a” or an “e”.
# Store the result in the variable num_a_or_e.
# Note 1: be sure to not double-count words that contain both an a and an e.
# HINT 1: Use the in operator.
# HINT 2: You can either use or or elif.
# Hard-coded answers will receive no credit.

sentence = "python is a high level general purpose programming language that can be applied to many different classes of problems."

num_a_or_e = 0

coutinhocf

# Write code that will count the number of vowels in the sentence s and assign the result to the variable num_vowels.
# For this problem, vowels are only a, e, i, o, and u. Hint: use the in operator with vowels.

s = "singing in the rain and playing in the rain are two entirely different situations but both can be fun"
vowels = ['a','e','i','o','u']

# Write your code here.
num_vowels = sum([1 for i in s if i in vowels])
print(num_vowels)

coutinhocf

# 1. Write code to add ‘horseback riding’ to the third position (i.e., right before volleyball) in the list sports.

sports = ['cricket', 'football', 'volleyball', 'baseball', 'softball', 'track and field', 'curling', 'ping pong', 'hockey']
sports.insert(2, 'horseback riding')

# 2. Write code to take ‘London’ out of the list trav_dest.

trav_dest = ['Beirut', 'Milan', 'Pittsburgh', 'Buenos Aires', 'Nairobi', 'Kathmandu', 'Osaka', 'London', 'Melbourne']
trav_dest.pop(7)

coutinhocf

# 1. Below are a set of scores that students have received in the past semester.
# Write code to determine how many are 90 or above and assign that result to the value a_scores.

scores = "67 80 90 78 93 20 79 89 96 97 92 88 79 68 58 90 98 100 79 74 83 88 80 86 85 70 90 100"
scores_split = scores.split(" ")
a_scores = 0
for x in scores_split:
    x = float(x)
    if x >= 90:
        a_scores += 1

coutinhocf

Machine Learning Week 8 Quiz 1 (Unsupervised Learning) Stanford Coursera

Github repo for the Course: Stanford Machine Learning (Coursera)
Quiz Needs to be viewed here at the repo (because the image solutions cant be viewed as part of a gist)

Question 1

True or False | Statement | Explanation

coutinhocf

Machine Learning Week 8 Quiz 2 (Principle Component Analysis) Stanford Coursera

Github repo for the Course: Stanford Machine Learning (Coursera)
Quiz Needs to be viewed here at the repo (because the image solutions cant be viewed as part of a gist)

Question 1

coutinhocf

Getting and Cleaning Data Quiz 1 (JHU) Coursera

Question 1

The American Community Survey distributes downloadable data about United States communities. Download the 2006 microdata survey about housing for the state of Idaho using download.file() from here:

https://d396qusza40orc.cloudfront.net/getdata%2Fdata%2Fss06hid.csv

and load the data into R. The code book, describing the variable names is here: