Homework 1

Survey, Personal Website, and Python Basics

Author

Byeong-Hak Choe

Published

February 5, 2025

Modified

March 12, 2025

Direction

  • Please submit your Jupyter Notebook for Part 3 in Homework 1 to Brightspace with the name below:

    • danl-210-hw1-LASTNAME-FIRSTNAME.ipynb
      ( e.g., danl-210-hw1-choe-byeonghak.ipynb )

  • The due is February 17, 2025, 10:30 A.M.

  • Please send Prof. Choe an email (bchoe@geneseo.edu) if you have any questions.




Descriptive Statistics

The following provides the descriptive statistics for each part of Homework 1:


Part 1. Survey

Please complete the following survey:




Part 2. Quarto Website

  1. Decorate your website:
  • Replace YOUR NAME with your name in _quarto.yml and index.qmd.
  • Describe yourself in index.qmd.
  • Add the picture file (e.g., png) of your profile photo to img directory. Then correct img/profile.png in index.qmd accordingly.
  • Add the PDF file of your resumé to the website working directory in your laptop.
  • Correct links for your resumé, LinkedIn, email, and optionally social media.
  • Make sure that you do not have any broken links in your website.
  1. Add a menu of “Project” to the navigation bar using danl_proj_nba.ipynb.
  • danl_proj_nba.ipynb file is available from Brightspace.
  1. Add a drop-down menu of “Python Data Analysis” to the navigation bar.
  • Under the menu of “Python Data Analysis”, add links for the following webpage:
    • Pandas Basics using pandas_basic.ipynb
    • Seaborn Basics using seaborn_basic.ipynb
    • pandas_basic.ipynb and seaborn_basic.ipynb files are available from Brightspace.
  1. Add a “Python Basics” blog post to your blog using Jupyter Notebook.
  • In your “Python Basics” blog post, briefly explain Python Basics we discussed in Lecture 4 and Lecture 5, and in Classwork 4
  • Choose a proper image file for a thumbnail for a blog post.
  • An YAML header template for a blog post can be found below, including an image option:
Click to Check the Answer! 
---
title: BLOG_TITLE
author: YOUR_NAME
date: 2025-02-14
categories: [tag_1, tag_2, tag_3] # tags for a blog post (e.g., python)
image: "image.png"

toc: true
---
  1. Use the 3-step git commands (git add ., git commit -m "MESSAGE", and git push) to update your online website.




Part 3. Python Basics

Question 0

Provide your GitHub username.



Question 1

Q1a

  • Create a list of integers from 1 to 10.
  • Append the number 11 to the list and remove the number 5.
Click to Check the Answer! 
list_numbers = list(range(1, 11))
list_numbers.append(11)
list_numbers.remove(5)


Q1b

  • Consider the following dictionary of three employees and their salaries:
dict_salaries = {'Alice': 50000, 'Bob': 60000, 'Charlie': 70000}
  • Add a new employee 'Dana' with a salary of 65000.
  • Update 'Alice'’s salary to 55000.
  • Print all employee names and their salaries.


Click to Check the Answer! 
dict_salaries = {'Alice': 50000, 'Bob': 60000, 'Charlie': 70000}
dict_salaries['Dana'] = 65000
dict_salaries['Alice'] = 55000

for name, salary in dict_salaries.items():
    print(name, ":", salary)
    
# An f-string (formatted string literal) is a way to embed expressions 
  # inside string literals using curly braces `{}`.
for name, salary in dict_salaries.items():
    print(f'{name}: {salary}')



Question 2

Q2a

  • Assign a variable salary to 75000.
  • Use an if-elif-else statement to print:
    • 'Low' if salary is less than 50,000
    • 'Medium' if salary is between 50,000 and 99,999
    • 'High' if salary is 100,000 or more


Click to Check the Answer! 
salary = 75000
if salary < 50000:
    print('Low')
elif 50000 <= salary < 100000:
    print('Medium')
else:
    print('High')


Q2b

  • Assign two variables, role and salary, to 'Manager' and 85000, respectively.

  • Use nested if-else statements to print:

    • 'Eligible for bonus' if the role is 'Manager' and the salary is greater than 80,000.
    • 'Eligible for raise' if the role is 'Analyst' and the salary is less than 60,000.
    • 'No action needed' for all other cases.


Click to Check the Answer! 
role = 'Manager'
salary = 85000

if role == 'Manager':
    if salary > 80000:
        print('Eligible for bonus')
    else:
        print('No action needed')
elif role == 'Analyst':
    if salary < 60000:
        print('Eligible for raise')
    else:
        print('No action needed')
else:
    print('No action needed')



Question 3

Q3a

  • Consider the following list of salaries:
list_salaries = [45000, 60000, 75000, 120000, 30000]
  • Calculate the average salary.
  • Use a for loop to print whether each salary is 'Above Average' or 'Below Average'.


Click to Check the Answer! 
list_salaries = [45000, 60000, 75000, 120000, 30000]
average_salary = sum(list_salaries) / len(list_salaries)

for salary in list_salaries:
    if salary > average_salary:
        print(f'{salary} is Above Average')
    else:
        print(f'{salary} is Below Average')


Q3b

  • Start with a salary of 50000.
  • Use a while loop to increase the salary by 5000 each year until it exceeds 80000.
  • Print the salary after each increment.


Click to Check the Answer! 
salary = 50000
while salary <= 80000:
    print(f'Salary: {salary}')
    salary += 5000


Q3c

  • Consider the following dictionary of employee salaries:
salaries = {'Alice': 50000, 'Bob': 60000, 'Charlie': 70000, 'Dana': 45000}
  • Use a for loop to print the names of employees who earn more than 55000.


Click to Check the Answer! 
salaries = {'Alice': 50000, 'Bob': 60000, 'Charlie': 70000, 'Dana': 45000}

for name, salary in salaries.items():
    if salary > 55000:
        print(f'{name} earns more than 55000')


Q3d

data_list = [42, 3.14, 'Data Analytics', True, None, [1, 2, 3], {'key': 'value'}, (4, 5)]
  • Given the list above, print the data type of each element using the type() function in a for loop. In the loop:
    • Convert the integer 42 to a string.
    • Convert the float 3.14 to a string, then back to a float.
    • Convert the boolean True to an integer.


Click to Check the Answer! 
data_list = [42, 3.14, 'Data Analytics', True, None, [1, 2, 3], {'key': 'value'}, (4, 5)]

for item in data_list:
    print(f'Original: {item}, Type: {type(item)}')
    
    if item == 42:
        item = str(item)
        print(f'Converted 42 to string: {item}, Type: {type(item)}')
    
    if item == 3.14:
        item = float(str(item))
        print(f'Converted "3.14" to float: {item}, Type: {type(item)}')

    if item is True:
        item = int(item)
        print(f'Converted True to integer: {item}, Type: {type(item)}')



Question 4

Q4a

Consider the variables a and b:

a = 10
b = 0
  • Use a try-except block to print the result of a / b.
    • If there is an error, print 'Cannot divide by zero!'.


Click to Check the Answer! 
a = 10
b = 0

try:
    result = a / b
    print(result)
except ZeroDivisionError:
    print('Cannot divide by zero!')


Q4b

  • Consider the following dictionary of salaries with some missing (None) values:
salaries = {'Alice': 50000, 'Bob': None, 'Charlie': 70000, 'Dana': None, 'Eve': 80000}
  • Use a for loop with a try-except block to calculate the total of non-missing salaries.


Click to Check the Answer! 
salaries = {'Alice': 50000, 'Bob': None, 'Charlie': 70000, 'Dana': None, 'Eve': 80000}
total = 0

for name, salary in salaries.items():
    try:
        total += salary
    except TypeError:
        continue



Question 5

  • Import the math library and calculate the square root of 81 using the sqrt() function provided by the math library.


Click to Check the Answer! 
import math
math.sqrt(81)



Back to top