🚀 Day 102/150 – Email Validation Program in Python

Email validation is a common task in many applications such as registration forms, login systems, and contact forms. A valid email address should follow a proper format, such as containing an @ symbol, a domain name, and a valid extension.

In this post, we'll explore four different ways to validate an email address in Python.

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Method 1 – Basic Email Validation

Check whether the email contains both @ and ..

password = input("Enter your password: ") special = "!@#$%^&*()_+-=[]{}|;:',.<>?/" if (len(password) >= 8 and any(char.isupper() for char in password) and any(char.islower() for char in password) and any(char.isdigit() for char in password) and any(char in special for char in password)): print("Strong Password") else: print("Weak Password")

Sample Input

user@example.com

Output

Valid Email

Explanation

• input() reads the email address.

• The program checks if the email contains both @ and ..

• If both are present, it considers the email valid.

• Otherwise, it prints "Invalid Email".

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Method 2 – Check Email Format

Ensure the email contains exactly one @ and ends with a common domain extension.

email = input("Enter your email: ")

if email.count("@") == 1 and email.endswith((".com", ".org", ".net")):
    print("Valid Email")
else:
    print("Invalid Email")






Sample Input

python@gmail.com

Output

Valid Email

Explanation

count("@") ensures there is only one @.

endswith() checks if the email ends with .com, .org, or .net.

Both conditions must be true for the email to be valid.

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Method 3 – Using Regular Expressions

Use Python's re module for more accurate email validation.

import re

email = input("Enter your email: ")

pattern = r"^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$"

if re.match(pattern, email):
    print("Valid Email")
else:
    print("Invalid Email")









Sample Input

hello123@gmail.com

Output

Valid Email

Explanation

• The re module provides support for regular expressions.

• re.match() checks whether the email matches the specified pattern.

• This method is more reliable than checking only for @ and ..

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Method 4 – Validate Multiple Email Addresses

Check several email addresses stored in a list.

emails = [
    "alice@gmail.com",
    "bob@yahoo",
    "charlie@example.com"
]

for email in emails:
    if "@" in email and "." in email:
        print(email, "- Valid")
    else:
        print(email, "- Invalid")










Output

alice@gmail.com - Valid 

bob@yahoo - Invalid 

charlie@example.com - Valid

Explanation

• A list of email addresses is created.

• The for loop checks each email one by one.

• Emails containing both @ and . are marked as valid.

• Others are marked as invalid.

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Comparison of Methods

Method	Best For
Basic Validation	Beginners learning string operations
Format Check	Simple real-world validation
Regular Expressions	Accurate email validation
Multiple Emails	Validating lists of email addresses

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🔥 Key Takeaways

• Email validation helps ensure users enter properly formatted email addresses.

• Basic validation checks for the presence of @ and ..

• count() and endswith() provide additional format checks.

• The re module offers a more robust way to validate email addresses using regular expressions.

• Email validation is commonly used in registration forms, login systems, and web applications.

Stay tuned for Day 103 of the #150DaysOfPython series! 🚀