Regex, short for regular expressions, is a powerful tool used for text processing and manipulation in programming. It allows developers to define patterns of characters that can be used to match specific strings of text. This can be incredibly useful for tasks such as data validation, parsing, and searching. Regex is used in a wide range of programming languages, including Javascript, Python, and Ruby. For those looking to learn more about regex, a regex tutorial is a great place to start. A good tutorial will cover the basics of regex syntax, provide examples of common use cases, and offer best practices for working with regular expressions. By learning regex, programmers can enhance their skills and write more efficient and effective code.
What are Regular Expressions (RegEx) patterns?
A RegEx pattern is a set of rules applied to match a certain data, let's say an email address, phone number, url and a long list of etc. Everything that follows a strict pattern can be translated into a RegEx pattern.
Creating a RegEx pattern can be tricky, if you're not familiarized with Regular Expressions, so to make our lives easier, here you'll find a list of examples for most used data patterns.
RegEx for emails
Emails are one of the data we receive and have to validate, that's why we are stating our examples with an email pattern that will match any valid email inside a text.
RegEx email inside text
Javascript
// We receive a text like this, and we want to extract the email address
const text = `My name is Geek and my email address is geek@4geeksacademy.com`;
const findEmail = (str) =>{
const regex = /\b[\w.!#$%&’*+\/=?^`{|}~-]+@[\w-]+(?:\.[\w-]+)*\b/mg;
return str.match(regex)
}
console.log(findEmail(text))
//Output -> [geek@4geeksacademy.com]
Python
dataset = "My name is Geek and my mail address is geek@4geeksacademy.com";
regex = r"\b[\w.!#$%&’*+\/=?^`{|}~-]+@[\w-]+(?:\.[\w-]+)*\b"
def findEmail(term, text):
match = re.search(term, text)
return match
print(findEmail(regex, dataset))
#Output -> <re.Match object; span=(39, 61), match='geek@4geeksacademy.com'>
RegEx email
Javascript
// Check valid email
const text = `geek@4geeksacademy.com`;
const validEmail = (str) =>{
const regex = new RegExp("^([a-zA-Z0-9._%-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,6})*quot;)
return regex.test(str)
}
//Output: true
Since we are checking if the email address has the correct pattern, we are using the test method to receive a true/false response.
Python
#Check valid email
dataset = "geek@4geeksacademy.com"
regex = r"^([a-zA-Z0-9._%-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,6})*quot;
def validEmail(term, text):
match = bool(re.search(term, text))
return match
print(validEmail(regex, dataset))
#Output -> True
Since we are checking if the email address has the correct pattern, we are using the bool to receive a true/false response.
Numbers without decimals (Int)
Javascript
//Check integer
const text = `15
12.3
56,7
12/4`;
const checkInt = (str) =>{
const regex = /^(\d+)$/gm;
return str.match(regex)
}
console.log(checkInt(text))
//Output -> [15]
Python
#Check integer
number = ("15\n"
"12.3\n"
"56,7\n"
"12/4")
regex = r"^(\d+)quot;
def checkInt(term, text):
dataset = "".join(text)
match= re.search(term, dataset, re.MULTILINE)
return match
print(checkInt(regex, number))
#output -> <re.Match object; span=(0, 2), match='15'>
RegEx decimal numbers (float)
Javascript
#Check float
const text = `15
12.3
56,7
12/4`;
const checkFloat = (str) =>{
const regex = /^(\d*)[.,](\d+)$/gm;
return str.match(regex)
}
console.log(checkFloat(text))
//Output -> [ '12.3', '56,7' ]
Python
#Check Float
number = ("15\n"
"12.3\n"
"56,7\n"
"12/4")
regexFloat = r"^(\d*)[.,](\d+)quot;
def checkInt(term, text):
dataset = "".join(text)
match= re.findall(term, dataset, re.MULTILINE)
return match
print(checkInt(regexFloat, number))
#output -> [('12', '3'), ('56', '7')]
We are using the findall() method because we have more than one in our dataset, if you would only want one result, use the search() method instead. The output would be <re.Match object; span=(3, 7), match='12.3'>
Regex for decimals
Javascript
const text = `15
12.3
56,7
12/4`;
const checkDecimals = (str) =>{
const regex = /^(\d+)[\/](\d+)$/gm;
return str.match(regex)
}
console.log(checkDecimals(text))
//Output -> [ '12/4' ]
Python
#Check decimals
number = ("15\n"
"12.3\n"
"56,7\n"
"12/4")
regexDecimals = r"^(\d+)[\/](\d+)quot;
def checkDecimals(term, text):
dataset = "".join(text)
match= re.search(term, dataset, re.MULTILINE)
return match
print(checkDecimals(regexDecimals, number))
#Output -> <re.Match object; span=(13, 17), match='12/4'>
RegEx for strong password validation
A strong password consists on a minimum length of 6 characters and at least:
- 1 uppercase
- 1 lowercase
- 1 number
- 1 special character
Javascript
#Check password
const goodPass = `%G[e](e)?k@1&3
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const badPass = `
geek@123
GEEK@123
Geeks123
Geeks@Geeks`
const checkPass = (pass) =>{
const regex = /(?=^.{6,}$)((?=.*\w)(?=.*[A-Z])(?=.*[a-z])(?=.*[0-9])(?=.*[|!@\[\]\(\)?$%&\/\(\)\?\^\'\\\+\-\*]))^.*/gm;
return regex.test(pass)
}
console.log(checkPass(goodPass)) //Output -> true
console.log(checkPass(badPass)) //Output -> false
Python
goodPass = "%G[e](e)?k@1&3quot;
badPass = ("geek@123\n"
"GEEK@123\n"
"Geeks123\n"
"Geeks@Geeks")
regex = r"(?=^.{6,}$)((?=.*\w)(?=.*[A-Z])(?=.*[a-z])(?=.*[0-9])(?=.*[|!\"$%&\/\(\)\?\^\'\\\+\-\*]))^.*"
def checkPassword(term, text):
match = bool(re.search(term, text, re.MULTILINE))
return match
print(checkPassword(regex, goodPass)) #Output -> True
print(checkPassword(regex, badPass)) #Output -> False
In both cases, we are returning True/False if the password provided matches the requirements.
RegEx for URLs
Javascript
// Check url
const checkUrl = (url) =>{
const regex = /^(((https?|ftp):\/\/)?([\w\-\.])+(\.)([\w]){2,4}([\w\/+=%&_\.~?\-]*))*$/gm;
return regex.test(url)
}
console.log(checkUrl("www.4geeks.com")) //Output -> true
console.log(checkUrl("4geeks.com")) //Output -> true
console.log(checkUrl("http://www.google.com")) //Output -> true
console.log(checkUrl("4geeks")) //Output -> false
Python
#check url
def checkUrl(url):
regex = r"^(((https?|ftp):\/\/)?([\w\-\.])+(\.)([\w]){2,4}([\w\/+=%&_\.~?\-]*))*quot;
match= bool(re.search(regex, url))
return match
print(checkUrl("www.4geeks.com")) #Output -> True
print(checkUrl("4geeks.com")) #Output -> True
print(checkUrl("http://www.google.com")) #Output -> True
print(checkUrl("4geeks")) #Output -> False
In both cases we are returning a boolean (true/false) if the URL is valid.
You can learn more about this topic and others related at 4Geeks. Hope you enjoyed the reading and keep on the Geek side!