Regular Expressions Development Tutorials, Guides & Insights

• This pattern efficiently extracts all numeric values from a string, whether they are positive or negative, whole numbers or floating points.

In this tutorial, we explored various examples of how to use regular expressions in Python to extract signed and unsigned integers, floating-point numbers, and a mix of both. By modifying the regex pattern slightly, you can adjust it to match exactly what you need in your specific application.

pattern = re.compile(r'\d+')

match = re.search(r'\d+', 'The price is 100 dollars')
if match:
    print(match.group())  # Output: 100

match = re.match(r'\d+', '123 apples')
if match:
    print(match.group())  # Output: 123

match = re.fullmatch(r'\d+', '12345')
if match:
    print(match.group())  # Output: 12345

// Function to check if a password meets certain strength criteria
function isValidPassword(password) {
    // Customize validation rules as needed
    const minLength = 8;
    const hasUppercase = /[A-Z]/.test(password);
    const hasLowercase = /[a-z]/.test(password);
    const hasDigit = /\d/.test(password);

    // Check if the password meets the criteria
    return password.length >= minLength && hasUppercase && hasLowercase && hasDigit;
}

// Example password
const password = 'SecurePwd123';

// Log whether the password is valid to the console
console.log('Is Valid Password:', isValidPassword(password));