Lesson 4: Assignments | Regex

Remember to take your time and work through each question diligently! Test your code, make sure it works, and try to find ways to improve. Once you are happy and satisfied with your code, upload it to Github, then turn in your Github link at the bottom of the page!

Don't forget. Make sure this assignment is in it's own repository. Not mixed in with others!

1. Python Regular Expressions Mastery

Task 1: Code Correction

Problem Statement: You are given a piece of code that is intended to extract email addresses from a given text. However, the code contains errors and does not function as expected. Your task is to identify and correct these errors.

Code Example:

Expected Outcome:

• Correct the regex pattern to capture email addresses effectively.

• Modify the code to handle different cases in email addresses.

now our assignment is gonna be, if tom was born 50 years before year 2035 and he went back to the future 3 years and came back 5 years younger create a format for his age in a flipped format

2. Python Regular Expressions Deep Dive

Objective:
The aim of this assignment is to deepen your practical skills in Python's regular expressions, enhancing your ability to process and manipulate text data. You will tackle a variety of real-world scenarios, applying regex to extract, validate, and transform text effectively.

Task 1: Email Extraction Enhancement

Problem Statement:
You have a script that extracts email addresses from a text but needs to be refined to exclude certain domains (e.g., 'exclude.com'). Modify the script to extract all email addresses except those from the specified domain.

Code Example:

import re

text = "Emails: user1@domain.com, user2@exclude.com, user3@domain.com"
emails = re.findall(r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b", text)
print(emails)

Expected Outcome:

• Adapt the regex pattern to exclude email addresses from 'exclude.com'.
• Ensure the script still extracts all other valid email addresses.