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Python Data Structures in Practice

Recap
2. Python lists
Iterating over a list
Modifying lists
Working with multiple lists
Congratulations

Instruction

Great! Before we move on to list usage in Python, let's do a quick recap of the basics. Lists are data structures typically used to store elements of the same type. List elements are ordered – i.e., each element is assigned a unique integer index.

list

The code below shows the ABCs of list handling:

  1. Define a list:
    2. countries = ['Spain', 'France', 'USA']
  2. Access the first element:
    3. countries[0]
  3. Access the second and third elements:
    4. countries[1:3]
  4. Add a new element:
    5. countries.append('Mexico')
  5. Delete by index:
    6. del countries[2]
  6. Delete by value:
    7. countries.remove('Spain')
  7. Iterate over the list:
    8. for country in countries:
  print(country)
  8. Check if the list contains an element:
    9. if 'Germany' in countries:
  print('Ich spreche Deutsch!')

Exercise

Let's do a quick list exercise as a warm-up. You are given a list of countries. Do the following:

  • Remove the UAE from the list.
  • Add Japan to the list.
  • For each country in the modified list, print the following sentence: 
    {country} contains {len(country)} letters!

Stuck? Here's a hint!

Use the following for loop:

for country in countries:
  print(country, 'contains', len(country), 'letters!')