Extract Usernames from Text with Python

Introduction

In this project, you will learn how to extract usernames from text using Python. This is a common task in social media and instant messaging applications, where the @ character is often used to mention someone.

👀 Preview

## Example 1
>>> from parse_username import after_at
>>> text = "@LabEx @labex I won in the @ competition"
>>> print(after_at(text))
['LabEx', 'labex']
## Example 2
>>> text = "@LabEx@labex I won in the @ competition"
>>> print(after_at(text))
['LabEx', 'labex']
## Example 3
>>> text = "@labex @LabEx I won in the @LabEx competition"
>>> print(after_at(text))
['LabEx', 'labex']
## Example 4
>>> text = "@!LabEx @labex I won in the competition"
>>> print(after_at(text))
['labex']
## Example 5
>>> text = "I won in the competition@"
>>> print(after_at(text))
[]
## Example 6
>>> text = "LabEx@!"
>>> print(after_at(text))
[]
## Example 7
>>> text = "@!@LabEx @labex I won in the @LabEx competition @experiment"
>>> print(after_at(text))
['LabEx', 'experiment', 'labex']

🎯 Tasks

In this project, you will learn:

• How to implement the after_at function to extract usernames from a given text
• How to handle edge cases and optimize the performance of the function
• How to test the function with various input scenarios

🏆 Achievements

After completing this project, you will be able to:

• Understand how to use Python to parse and extract relevant information from text
• Develop a robust and efficient function to extract usernames from text
• Apply your problem-solving skills to enhance the functionality of the function
• Test your code thoroughly to ensure it works as expected