You've learned this already. ✅

Click here to view the next lesson.

Chapter 3: Basic Python Programming

3.4 Practical Exercises Chapter 3: Basic Python Programming

Exercise 1: Your First Script

Create a Python script named print_even_numbers.py.
Make the script print even numbers from 2 to 20.
# print_even_numbers.py for i in range(2, 21, 2): print(i)
Run your script from the terminal to verify it works.

Exercise 2: Command-Line Arguments

Create a Python script named greet_user.py.
Modify the script to accept a username as a command-line argument.
# greet_user.py import sys username = sys.argv[1] print(f"Hello, {username}!")
Run the script from the terminal, passing in different usernames to make sure it works.

Exercise 3: CSV File Reader

Create a CSV file with columns Name, Age, and Email and populate it with sample data.
Write a Python script named read_csv.py.
# read_csv.py import csv with open('sample.csv', 'r') as file: reader = csv.reader(file) for row in reader: print(row)
Run the script to make sure it works.

Download here the sample.csv file

Exercise 4: Simple Task Automation

Create two text files, file1.txt and file2.txt, and put some text in them.
Write a Python script named concat_files.py.
# concat_files.py with open('file1.txt', 'r') as f1, open('file2.txt', 'r') as f2, open('combined.txt', 'w') as combined: combined.write(f1.read() + '\\n' + f2.read())
Run your script and check that combined.txt contains the text from both files.

Exercise 5: Debugging Practice

Add a logical bug to one of your previous scripts.
Use Python's built-in debugger pdb to debug the script.
# Insert the following line where you want to start debugging import pdb; pdb.set_trace()
Document your debugging steps and the solution to the bug.

Exercise 6: Script Logging

Pick one of your existing scripts.
Add logging to the script using Python's logging module.
# Add these lines at the beginning of your script import logging logging.basicConfig(level=logging.INFO)
Include different types of log messages (e.g., info, warning, error).
Run the script and inspect the generated log messages.

3.4 Practical Exercises Chapter 3: Basic Python Programming

Exercise 1: Your First Script

Create a Python script named print_even_numbers.py.
Make the script print even numbers from 2 to 20.
# print_even_numbers.py for i in range(2, 21, 2): print(i)
Run your script from the terminal to verify it works.

Exercise 2: Command-Line Arguments

Create a Python script named greet_user.py.
Modify the script to accept a username as a command-line argument.
# greet_user.py import sys username = sys.argv[1] print(f"Hello, {username}!")
Run the script from the terminal, passing in different usernames to make sure it works.

Exercise 3: CSV File Reader

Create a CSV file with columns Name, Age, and Email and populate it with sample data.
Write a Python script named read_csv.py.
# read_csv.py import csv with open('sample.csv', 'r') as file: reader = csv.reader(file) for row in reader: print(row)
Run the script to make sure it works.

Download here the sample.csv file

Exercise 4: Simple Task Automation

Create two text files, file1.txt and file2.txt, and put some text in them.
Write a Python script named concat_files.py.
# concat_files.py with open('file1.txt', 'r') as f1, open('file2.txt', 'r') as f2, open('combined.txt', 'w') as combined: combined.write(f1.read() + '\\n' + f2.read())
Run your script and check that combined.txt contains the text from both files.

Exercise 5: Debugging Practice

Add a logical bug to one of your previous scripts.
Use Python's built-in debugger pdb to debug the script.
# Insert the following line where you want to start debugging import pdb; pdb.set_trace()
Document your debugging steps and the solution to the bug.

Exercise 6: Script Logging

Pick one of your existing scripts.
Add logging to the script using Python's logging module.
# Add these lines at the beginning of your script import logging logging.basicConfig(level=logging.INFO)
Include different types of log messages (e.g., info, warning, error).
Run the script and inspect the generated log messages.

3.4 Practical Exercises Chapter 3: Basic Python Programming

Exercise 1: Your First Script

Create a Python script named print_even_numbers.py.
Make the script print even numbers from 2 to 20.
# print_even_numbers.py for i in range(2, 21, 2): print(i)
Run your script from the terminal to verify it works.

Exercise 2: Command-Line Arguments

Create a Python script named greet_user.py.
Modify the script to accept a username as a command-line argument.
# greet_user.py import sys username = sys.argv[1] print(f"Hello, {username}!")
Run the script from the terminal, passing in different usernames to make sure it works.

Exercise 3: CSV File Reader

Create a CSV file with columns Name, Age, and Email and populate it with sample data.
Write a Python script named read_csv.py.
# read_csv.py import csv with open('sample.csv', 'r') as file: reader = csv.reader(file) for row in reader: print(row)
Run the script to make sure it works.

Download here the sample.csv file

Exercise 4: Simple Task Automation

Create two text files, file1.txt and file2.txt, and put some text in them.
Write a Python script named concat_files.py.
# concat_files.py with open('file1.txt', 'r') as f1, open('file2.txt', 'r') as f2, open('combined.txt', 'w') as combined: combined.write(f1.read() + '\\n' + f2.read())
Run your script and check that combined.txt contains the text from both files.

Exercise 5: Debugging Practice

Add a logical bug to one of your previous scripts.
Use Python's built-in debugger pdb to debug the script.
# Insert the following line where you want to start debugging import pdb; pdb.set_trace()
Document your debugging steps and the solution to the bug.

Exercise 6: Script Logging

Pick one of your existing scripts.
Add logging to the script using Python's logging module.
# Add these lines at the beginning of your script import logging logging.basicConfig(level=logging.INFO)
Include different types of log messages (e.g., info, warning, error).
Run the script and inspect the generated log messages.

3.4 Practical Exercises Chapter 3: Basic Python Programming

Exercise 1: Your First Script

Create a Python script named print_even_numbers.py.
Make the script print even numbers from 2 to 20.
# print_even_numbers.py for i in range(2, 21, 2): print(i)
Run your script from the terminal to verify it works.

Exercise 2: Command-Line Arguments

Create a Python script named greet_user.py.
Modify the script to accept a username as a command-line argument.
# greet_user.py import sys username = sys.argv[1] print(f"Hello, {username}!")
Run the script from the terminal, passing in different usernames to make sure it works.

Exercise 3: CSV File Reader

Create a CSV file with columns Name, Age, and Email and populate it with sample data.
Write a Python script named read_csv.py.
# read_csv.py import csv with open('sample.csv', 'r') as file: reader = csv.reader(file) for row in reader: print(row)
Run the script to make sure it works.

Download here the sample.csv file

Exercise 4: Simple Task Automation

Create two text files, file1.txt and file2.txt, and put some text in them.
Write a Python script named concat_files.py.
# concat_files.py with open('file1.txt', 'r') as f1, open('file2.txt', 'r') as f2, open('combined.txt', 'w') as combined: combined.write(f1.read() + '\\n' + f2.read())
Run your script and check that combined.txt contains the text from both files.

Exercise 5: Debugging Practice

Add a logical bug to one of your previous scripts.
Use Python's built-in debugger pdb to debug the script.
# Insert the following line where you want to start debugging import pdb; pdb.set_trace()
Document your debugging steps and the solution to the bug.

Exercise 6: Script Logging

Pick one of your existing scripts.
Add logging to the script using Python's logging module.
# Add these lines at the beginning of your script import logging logging.basicConfig(level=logging.INFO)
Include different types of log messages (e.g., info, warning, error).
Run the script and inspect the generated log messages.

Purchase this book