Let's revisit the example with the country information. What happens if the `name` parameter isn't found in the data?

# Data
countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 
                  'Germany': (357114, 83783942), 'Brazil': (8515767, 212559417), 
                  'India': (3166391, 1380004385)}

# Defining a function
def country_information(d, name):
  print('Country:', name)
  print('Area:', d[name][0], 'sq km')
  print('Population:', round(d[name][1]/1000000, 2), 'MM')

# Testing the function
country_information(countries_dict, 'USA')
country_information(countries_dict, 'Ukraine')

Can we manage this problem? Absolutely, by implementing conditional statements!

# Data
countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 
                  'Germany': (357114, 83783942), 'Brazil': (8515767, 212559417), 
                  'India': (3166391, 1380004385)}

# Modify our function
def country_information_mod(d, name):
  if name not in d.keys():
    print("There is no information about", name)
  else:
    print("Country:", name)
    print("Area:", d[name][0], 'sq km')
    print("Population:", round(d[name][1]/1000000, 2), 'mln')
        
# Testing the function
country_information_mod(countries_dict, "USA")
country_information_mod(countries_dict, "Ukraine")

As demonstrated, the error message in this updated format is more user-friendly. While there are many other potential errors and methods to handle them, they're outside the purview of this course.

In this section, you'll dive into the basics of Python, familiarize yourself with your workspace, tackle simple math operations, and display your results.

Here, you'll learn how to store items like numbers and text in computer memory, recalling them by name. You'll also get a taste of text manipulation in Python.

Here, you'll delve into the boolean data type and discover its role in creating programs that respond to specific conditions.

Continuing with data types, this section will teach you how to group varied attributes within a single variable using lists, tuples, and the intriguing dictionaries.

In this part, you'll master the art of writing loops in Python – essential constructs for iterating over lists, tuples, dictionaries, and even future dataframes.

To wrap up our introductory course, you'll explore some built-in functions and then embark on creating your very own!

Introduction to Python

Modifying Functions