100 Days of Code: The Complete Python Pro Bootcamp for 2022 - Day 26 (Comprehension and NATO alphabet)

List comprehension

Python Console

# numbers = [1, 2, 3]
# new_list = []
# for n in numbers:
#     add_1 = n+1
#     new_list.append(add_1)
#     print(new_list)

# [new_item for item in list]
numbers = [1, 2, 3]
new_list = [n+1 for n in numbers]
print(new_list)

# [letter for letter in name]
name = "Angela"
letter_list = [letter for letter in name]
print(letter_list)

# [new_item for item in range]
range_list = [num * 2 for num in range(1, 5)]
print(range_list)

# [new_item for item in list if test]
names = ['Alex', 'Beth', 'Caroline', 'Dave', 'Eleanor', 'Freddie']
short_names = [name for name in names if len(name) < 5]
print(short_names)

long_names = [name.upper() for name in names if len(name) > 5]
print(long_names)

Python Sequences

List
Range
String
Tuple

Exercise 235 SQUARE numbers

numbers = [1, 1, 2, 3, 5, 8, 13, 21, 34, 55]
# 🚨 Do Not Change the code above 👆

# Write your 1 line code 👇 below:
# [new_item for item in list]

squared_numbers = [n*n for n in numbers]


# Write your code 👆 above:

print(squared_numbers)

C:\Users\MikeK\PycharmProjects\Day_26_List_Comprehension\venv\Scripts\python.exe C:\Users\MikeK\PycharmProjects\Day_26_List_Comprehension\main.py 
[1, 1, 4, 9, 25, 64, 169, 441, 1156, 3025]

Process finished with exit code 0

Exercise 236 Even numbers from a list

numbers = [1, 1, 2, 3, 5, 8, 13, 21, 34, 55]
# 🚨 Do Not Change the code above

# Write your 1 line code 👇 below:
# [new_item for item in list if test]

result = [num for num in numbers if num % 2 == 0]

# Write your code 👆 above:

print(result)

C:\Users\MikeK\PycharmProjects\Day_26_List_Comprehension\venv\Scripts\python.exe C:\Users\MikeK\PycharmProjects\Day_26_List_Comprehension\main.py 
[2, 8, 34]

Process finished with exit code 0

Exercise 237 Data Overlap

main.py

# [new_item for item in list if test]
with open("file1.txt") as file1:
    file_1_data = file1.readlines()

with open("file2.txt") as file2:
    file_2_data = file2.readlines()

result = [int(num) for num in file_1_data if num in file_2_data]

# Write your code above 👆

print(result)

C:\Users\MikeK\PycharmProjects\Day_26_List_Comprehension\venv\Scripts\python.exe C:\Users\MikeK\PycharmProjects\Day_26_List_Comprehension\main.py 
[3, 6, 5, 33, 12, 7, 42, 13]

Process finished with exit code 0

File1.txt
3
6
5
8
33
12
7
4
72
2
42
13

Exercise 238 Apply List Comprehension to the US States Game

main.py

import turtle
import pandas

screen = turtle.Screen()
screen.title("U.S States Game")
image = "blank_states_img.gif"
screen.addshape(image)
turtle.shape(image)

data = pandas.read_csv("50_states.csv")
all_states = data.state.to_list()
guessed_states = []

while len(guessed_states) < 50:
    answer_state = screen.textinput(title=f"{len(guessed_states)}/50 States Correct",
                                    prompt="Whats another state's name?").title()
    if answer_state == "Exit":
        missing_states = [state for state in all_states if state not in guessed_states]
        new_data = pandas.DataFrame(missing_states)
        new_data.to_csv("states_to_learn.csv")
        break
    if answer_state in all_states:
        guessed_states.append(answer_state)
        t = turtle.Turtle()
        t.hideturtle()
        t.penup()
        state_date = data[data.state == answer_state]
        t.goto(int(state_date.x), int(state_date.y))
        t.write(answer_state)

Exercise 239 Dictionary Comprehension

new_dict = {new_key:new_value for item in list}
new_dict = {new_key:new_value for (key, value) in dict.items() if test}
{new_key:new_value for (index, row) in df.iterrows()}

Python console

Python 3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC v.1929 64 bit (AMD64)] on win32
names = ['Alex', 'Beth', 'Caroline', 'Eleanor', 'Freddie']
import random
students_scores = {student:random.randint(1, 100) for student in names}

- Output
{'Alex': 35, 'Beth': 79, 'Caroline': 62, 'Eleanor': 69, 'Freddie': 64}

passed_students = {student:score for (student, score) in students_scores.items() if score >= 60}

-output
passed_students = {dict: 2} {'Alex': 63, 'Freddie': 96}
'Alex' = {int} 63
'Freddie' = {int} 96

Exercise 240 Dictionary Comprehension 1

You are going to use Dictionary Comprehension to create a dictionary called result that takes each word in the given sentence and calculates the number of letters in each word.

Try Googling to find out how to convert a sentence into a list of words.

Do NOT Create a dictionary directly. Try to use Dictionary Comprehension instead of a Loop.

sentence = "What is the Airspeed Velocity of an Unladen Swallow?"
# Don't change code above 👆

# Write your code below:
result = {word:len(word) for word in sentence.split()}

print(result)

Exercise 241 Dictionary Comprehension 2

You are going to use Dictionary Comprehension to create a dictionary called weather_f that takes each temperature in degrees Celsius and converts it into degrees Fahrenheit.

To convert temp_c into temp_f:

(temp_c * 9/5) + 32 = temp_f

Do NOT Create a dictionary directly. Try to use Dictionary Comprehension instead of a Loop.

Example Output
{

'Monday': 53.6,

'Tuesday': 57.2,

'Wednesday': 59.0,

'Thursday': 57.2,

'Friday': 69.8,

'Saturday': 71.6,

'Sunday': 75.2

}

weather_c = {
    "Monday": 12,
    "Tuesday": 14,
    "Wednesday": 15,
    "Thursday": 14,
    "Friday": 21,
    "Saturday": 22,
    "Sunday": 24,
}
# 🚨 Don't change code above 👆


# Write your code 👇 below:
weather_f = {day:temp * 9/5 + 32 for (day, temp) in weather_c.items()}

print(weather_f)

Exercise 242 How to iterate over Pandas data frame

student_dict = {
    "student": ["Angela", "James", "Lily"],
    "score": [56, 76, 98]
}

# Looping through dictionaries:
#for (key, value) in student_dict.items():
 #   print(key)
 #   print(value)

import pandas

student_data_frame = pandas.DataFrame(student_dict)
# print(student_data_frame)

# Loop through a dataframe
# for (key, value) in student_data_frame.items():
#     print(key)

# Loop through rows of a data frame
for (index, row) in student_data_frame.iterrows():
    print(row)

Exercise 243 Introducing the NATO Project

TODO 1. Create a dictionary in this format:
{"A":"Alpha", "B":"Bravo"}

TODO 2. Create a list of the phonetic code words from a word that the user inputs.

Exercise 244 Solution the NATO Project

# Keyword Method with iterrows()
# {new_key:new_value for (index, row) in df.iterrows()}

import pandas

data_nato = pandas.read_csv("nato_phonetic_alphabet.csv")

# TODO 1. Create a dictionary in this format:
# {"A": "Alfa", "B": "Bravo"}
nato_dict = {row.letter:row.code for (index, row) in data_nato.iterrows()}

# TODO 2. Create a list of the phonetic code words from a word that the user inputs.
word = input("Enter a word: ").upper()
output_list = [nato_dict[letter] for letter in word]
print(output_list)