If you're working with email addresses in Python 3, it's important to ensure
that they are valid. Invalid email addresses can cause your application to
crash or even compromise your users' security. In this article, we'll discuss
how to validate email addresses in Python 3 using various methods.

Method 1: Using Regular Expressions

Graphic demonstrating the use of regular expressions for validating email addresses

One of the most common ways to validate email addresses in Python 3 is to use
regular expressions. Regular expressions are a powerful tool for pattern
matching and can be used to match email addresses.

To use regular expressions in Python 3, you'll need to import the re module.
Here's an example of how to use regular expressions to validate an email
address:

import re email = "example@example.com" pattern = r"[^@]+@[^@]+\.[^@]+" if re.match(pattern, email): print("Valid email address") else: print("Invalid email address")

In this example, we're using the re.match() function to match the email
address against a regular expression pattern. The pattern we're using matches
any string that contains one or more characters that are not "@" followed by
an "@" symbol, one or more characters that are not "@" followed by a "."
symbol, and one or more characters that are not "@".

Method 2: Using the validate_email Library

Another way to validate email addresses in Python 3 is to use the
validate_email library. This library provides a simple way to validate email
addresses using a variety of methods.

To use the validate_email library, you'll need to install it using pip:

pip install validate_email

Once you've installed the library, you can use it to validate email addresses
like this:

from validate_email import validate_email email = "example@example.com" is_valid = validate_email(email) if is_valid: print("Valid email address") else: print("Invalid email address")

In this example, we're using the validate_email() function from the
validate_email library to validate the email address. If the email address is
valid, the function will return True. Otherwise, it will return False.

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Method 3: Using the py3-validate-email Library

Illustration highlighting the importance of email validation for improving delivery rates and reducing bounces

Another library that you can use to validate email addresses in Python 3 is
the py3-validate-email library. This library provides a simple way to validate
email addresses using the SMTP protocol.

To use the py3-validate-email library, you'll need to install it using pip:

pip install py3-validate-email

Once you've installed the library, you can use it to validate email addresses
like this:

from py3_validate_email import validate_email email = "example@example.com" is_valid = validate_email(email) if is_valid: print("Valid email address") else: print("Invalid email address")

In this example, we're using the validate_email() function from the
py3-validate-email library to validate the email address. If the email address
is valid, the function will return True. Otherwise, it will return False.

Conclusion

Validating email addresses is an important part of any application that deals
with user data. In this article, we've discussed several methods for
validating email addresses in Python 3, including using regular expressions
and libraries like validate_email and py3-validate-email. By using these
methods, you can ensure that your application is secure and your users' data
is protected.