Section 10.10 Write Code Questions
Checkpoint 10.10.1.
Write a program that categorizes each mail message by which day of the week the commit was done. To do this, look for lines that start with “From”. Then, look for the third word, and keep a running count of each of the days of the week. At the end of the program, print out the contents of the dictionary mail_count (order does not matter). For example, mail_count['Mon'] should be 2.
Solution.Write a program that categorizes each mail message by which day of the week the commit was done. To do this, look for lines that start with “From”. Then, look for the third word, and keep a running count of each of the days of the week. At the end of the program, print out the contents of the dictionary mail_count (order does not matter). For example, mail_count['Mon'] should be 2.
# mail list was given
mail = ['From stephen.marquard@uct.ac.za Sat Jan 7', 'From gopal.ramasammycook@gmail.com Thurs Jan 5', 'From louis@media.berkeley.edu Tues Jan 3', 'From antranig@caret.cam.ac.uk Sat Jan 7', 'From david.horwitz@uct.ac.za Wed Jan 4', 'From ray@media.berkeley.edu Mon Jan 2', 'From stephen.marquard@uct.ac.za Mon Jan 2', 'From wagnermr@iupui.edu Fri Jan 6']
# Create dictionary for the emails
mail_count = {}
# Iterate through each email in the list
for email in mail:
# Separate pieces of each email setting key to the day (third element)
key = email.split()[2]
# Add key to dictionary if not included
if key not in mail_count.keys():
mail_count[key] = 0
# Update key
mail_count[key] += 1
# Print final count
print(mail_count)
Checkpoint 10.10.2.
Write a program to read through a mail log, build the dictionary user_count to count how many messages have come from each email address, and print the dictionary. For example, user_count['stephen.marquard@uct.ac.za'] should be 4.
Checkpoint 10.10.3.
Write a program that creates a dictionary letter_count that keeps track of the amount of times each letter appears in the given phrase. Assign the number of times “e” appears in the phrase to the variable e_counter. Make sure to account for each letter in its lowercase form. For example, e_counter should be 10, and letter_count['e'] should be 10.
Solution.Write a program that creates a dictionary letter_count that keeps track of the amount of times each letter appears in the given phrase. Assign the number of times “e” appears in the phrase to the variable e_counter. Make sure to account for each letter in its lowercase form. For example, e_counter should be 10, and letter_count['e'] should be 10.
# phrase string is given
phrase = "Exeggcute evolves into Exeggutor which are two extraordinary Pokemon"
# Create dictionary for letters and their counts
letter_count = {}
# Iterate through words in string
for word in phrase.split():
# Iterate through each letter
for letter in word:
# Put each letter into lowercase
letter = letter.lower()
# Add letter as key to dictionary, if not included
if letter not in letter_count.keys():
letter_count[letter] = 0
# Update letter
letter_count[letter] += 1
# Create e_counter to see how many are in the phrase
e_counter = letter_count['e']
Checkpoint 10.10.4.
Write a program that reads the words in the string phrase and counts how many times each word appears. Store the words as keys in the dictionary word_dictionary, and then use the in operator as a fast way to check whether the string is in the dictionary. For example, word_dictionary['Writing'] should be 1. (Note: ‘Writing' and ‘writing' would be counted as two separate words for this question.)
Writing programs or programming is a very creative
and rewarding activity You can write programs for
many reasons ranging from making your living to solving
a difficult data analysis problem to having fun to helping
someone else solve a problem This book assumes that
{\em everyone} needs to know how to program and that once
you know how to program, you will figure out what you want
to do with your newfound skills
We are surrounded in our daily lives with computers ranging
from laptops to cell phones We can think of these computers
as our personal assistants who can take care of many things
on our behalf The hardware in our current-day computers
is essentially built to continuously ask us the question
What would you like me to do next
Our computers are fast and have vasts amounts of memory and
could be very helpful to us if we only knew the language to
speak to explain to the computer what we would like it to
do next If we knew this language we could tell the
computer to do tasks on our behalf that were reptitive
Interestingly, the kinds of things computers can do best
are often the kinds of things that we humans find boring
and mind-numbing
Checkpoint 10.10.5.
Write code that reads in the text from the file words.txt and uses the dictionary word_count to count the amount of times a word appears in the file. Watch out for repetition using the .lower() function. For example, word_count['and'] should be 5.
Solution.Write code that reads in the text from the file words.txt and uses the dictionary word_count to count the amount of times a word appears in the file. Watch out for repetition using the .lower() function. For example, word_count['and'] should be 5.
# Open the file in "read" mode
with open("words.txt", "r") as filename:
# Create dictionary to count words
word_count = {}
# Separate lines and iterate through them
lines = filename.readlines()
for line in lines:
# Iterate through each word
for word in line.split():
# Set each word to lowercase
word = word.lower()
# Add word to dictionary if not included
if word not in word_count.keys():
word_count[word] = 0
# Update word
word_count[word] += 1
# Print final count
print(word_count)
Checkpoint 10.10.6.
Write a program that reads the words in the string phrase and counts how many times each word appears. Store the words as keys in the dictionary word_dictionary, and then use the in operator as a fast way to check whether the string is in the dictionary. Make sure to turn all letters in words into lowercase letters in order to avoid any repetition. For example, word_dictionary.get('Writing', 0) should be 0, and word_dictionary['writing'] should be 1.
Below is the romeo3.txt file used in Question 7.
Hint 2.But soft what light through yonder window breaks
It is the east and Juliet is the sun
Arise fair sun and kill the envious moon
Who is already sick and pale with grief
Checkpoint 10.10.7.
Write code to read through the lines of the file, break each line into a list of words, and then loop through each of the words in the line and count each word using the dictionary counts. For example, counts['is'] should be 3.
Solution.Write code to read through the lines of the file, break each line into a list of words, and then loop through each of the words in the line and count each word using the dictionary counts. For example, counts['is'] should be 3.
# Open file in "read" mode
with open("romeo.txt", "r") as filename:
# Separate and read lines
lines = filename.readlines()
# Create count dictionary
counts = {}
# Iterate through lines
for line in lines:
# Iterate through words in each line
for word in line.split():
# Set each word to lowercase
word = word.lower()
# Add word to dictionary if not included
if word not in counts.keys():
counts[word] = 0
# Update word
counts[word] += 1
Checkpoint 10.10.8.
Write code that adds the key ‘two' with a value of ‘dos' to the dictionary eng2sp. For example, eng2sp['two'] should be 'dos'.
The next two questions are associated with the following text file which has an email address followed by the number of messages from that address.
Hint 3.gopal.ramasammycook@gmail.com 1
louis@media.berkeley.edu 3
cwen@iupui.edu 5
antranig@caret.cam.ac.uk 1
rjlowe@iupui.edu 2
gsilver@umich.edu 3
david.horwitz@uct.ac.za 4
wagnermr@iupui.edu 1
zqian@umich.edu 4
stephen.marquard@uct.ac.za 2
ray@media.berkeley.edu 1
Checkpoint 10.10.9.
Add code to the program below to figure out who has the most messages in the file. After all the data has been read and the dictionary message_count has been created, look through the dictionary using a maximum loop (see Chapter 5: Maximum and minimum loops) to find who has the most messages, and print how many messages the person has. For example, message_count['cwen@iupui.edu'] should be 5.
Solution.Add code to the program below to figure out who has the most messages in the file. After all the data has been read and the dictionary message_count has been created, look through the dictionary using a maximum loop (see Chapter 5: Maximum and minimum loops) to find who has the most messages, and print how many messages the person has. For example, message_count['cwen@iupui.edu'] should be 5.
# Open file in read mode
with open("mbox-short.txt", "r") as filename:
# Create message_count dictionary
message_count = {}
# Create variable for lines of the file
messages = filename.readlines()
# Iterate through each message (each line)
for message in messages:
# Assign the key to the first (0th) element of the message
key = message.split()[0]
# Assign the value to the second element of the message
value = message.split()[1]
# Check if key is already in dictionary
if key not in message_count.keys():
# if not, add key/value pair to dictionary
message_count[key] = value
# Create variable to count emails
max_emails = 0
# Iterate through keys in dictionary
for key in message_count.keys():
# Check if key is larger than the max emails
if int(message_count[key]) >= max_emails:
# If so, reassign max_emails to that key
max_emails = int(message_count[key])
print(max_emails)
Checkpoint 10.10.10.
Write a program to record in the dictionary message_count the total number of messages from each domain name (not the whole address, just the part after the @ and before the space). At the end of the program, print out the contents of your dictionary. The domains should be the keys of the dictionary, and the counts of the domains should be the values of the dictionary. For example, message_count['iupui.edu'] should be 8.
