Applications (autocomplete, spell check, IP routing) in Data Structures Theory - Mini Project: Build & Apply

Applications of Data Structures: Autocomplete, Spell Check, and IP Routing

📖 Scenario: You are learning how data structures help in everyday technology like autocomplete on phones, spell check in documents, and routing on the internet.Understanding these applications will help you see how simple data setups solve real problems.

🎯 Goal: Build simple examples that show how data structures support autocomplete, spell check, and IP routing.You will create data lists, set up helper variables, apply core logic to find matches or routes, and complete the examples.

📋 What You'll Learn

Create a list of words for autocomplete

Set a prefix string to search for autocomplete suggestions

Use a loop to find words starting with the prefix

Create a list of misspelled words and a dictionary of correct words for spell check

Set a threshold for allowed difference in spell check

Use a loop to find close matches for spell check

Create a list of IP addresses and a routing table dictionary

Set a target IP address to find route

Use logic to find the best route for the IP address

💡 Why This Matters

🌍 Real World

Autocomplete helps users type faster on phones and search engines by suggesting words as they type.

💼 Career

Understanding these data structure applications is useful for software developers working on user interfaces, search engines, and network routing.

1

Create a list of words for autocomplete

Create a list called words with these exact entries: 'apple', 'application', 'banana', 'band', 'bandana'.

Data Structures Theory

# Create the list called words with the given entries
# Your code here

Need a hint?

Use square brackets to create a list and put each word in quotes separated by commas.

2

Set a prefix string for autocomplete search

Create a variable called prefix and set it to the string 'ban'.

Data Structures Theory

words = ['apple', 'application', 'banana', 'band', 'bandana']
# Set the prefix variable to 'ban'
# Your code here

Need a hint?

Use simple assignment with the exact variable name prefix and value 'ban'.

3

Find words starting with the prefix

Create a list called matches that contains all words from words starting with prefix using a list comprehension.

Data Structures Theory

words = ['apple', 'application', 'banana', 'band', 'bandana']
prefix = 'ban'
# Create matches list with words starting with prefix
# Your code here

Need a hint?

Use a list comprehension with word.startswith(prefix) to filter words.

4

Complete the autocomplete example

Add a comment explaining that matches holds autocomplete suggestions for the prefix 'ban'.

Data Structures Theory

words = ['apple', 'application', 'banana', 'band', 'bandana']
prefix = 'ban'
matches = [word for word in words if word.startswith(prefix)]
# Add a comment explaining matches
# Your code here

Need a hint?

Write a clear comment describing what the matches list represents.