Regular expressions (regex or regexp) are extremely useful in extracting information from any text by searching for one or more matches of a specific search pattern (i.e. a specific sequence of ASCII or unicode characters).

Fields of application range from validation to parsing/replacing strings, passing through translating data to other formats and web scraping.

One of the most interesting features is that once you’ve learned the syntax, you can actually use this tool in (almost) all programming languages ​​(JavaScript, Java, VB, C #, C / C++, Python, Perl, Ruby, Delphi, R, Tcl, and many others) with the slightest distinctions about the support of the most advanced features and syntax versions supported by the engines).

Let’s start by looking at some examples and explanations.

Basic topics#

Anchors — ^ and $#

^The        matches any string that starts with The end$        matches a string that ends with end^The end$   exact string match (starts and ends with The end)roar        matches any string that has the text roar in it

Quantifiers — * + ? and {}#

abc*        matches a string that has ab followed by zero or more c abc+        matches a string that has ab followed by one or more cabc?        matches a string that has ab followed by zero or one cabc{2}      matches a string that has ab followed by 2 cabc{2,}     matches a string that has ab followed by 2 or more cabc{2,5}    matches a string that has ab followed by 2 up to 5 ca(bc)*      matches a string that has a followed by zero or more copies of the sequence bca(bc){2,5}  matches a string that has a followed by 2 up to 5 copies of the sequence bc

OR operator — | or []#

a(b|c)     matches a string that has a followed by b or c (and captures b or c) a[bc]      same as previous, but without capturing b or c

Character classes — \d \w \s and .#

\d         matches a single character that is a digit \w         matches a word character (alphanumeric character plus underscore)\s         matches a whitespace character (includes tabs and line breaks).          matches any character 

Use the . operator carefully since often class or negated character class (which we’ll cover next) are faster and more precise.

\d, \w and \s also present their negations with \D, \W and \S respectively.

For example, \D will perform the inverse match with respect to that obtained with \d.

\D         matches a single non-digit character 

In order to be taken literally, you must escape the characters ^.[$()|*+?{\with a backslash \ as they have special meaning.

\$\d       matches a string that has a $ before one digit

Notice that you can match also non-printable characters like tabs \t, new-lines \n, carriage returns \r.

Flags#

We are learning how to construct a regex but forgetting a fundamental concept: flags.

A regex usually comes within this form /abc/, where the search pattern is delimited by two slash characters /. At the end we can specify a flag with these values (we can also combine them each other):

• g (global) does not return after the first match, restarting the subsequent searches from the end of the previous match
• m (multi-line) when enabled ^ and $ will match the start and end of a line, instead of the whole string
• i (insensitive) makes the whole expression case-insensitive (for instance /aBc/i would match AbC)

Intermediate topics#

Grouping and capturing — ()#

a(bc)           parentheses create a capturing group with value bc -> a(?:bc)*        using ?: we disable the capturing group a(?<foo>bc)     using ?<foo> we put a name to the group 

This operator is very useful when we need to extract information from strings or data using your preferred programming language. Any multiple occurrences captured by several groups will be exposed in the form of a classical array: we will access their values specifying using an index on the result of the match.

If we choose to put a name to the groups (using (?<foo>...)) we will be able to retrieve the group values using the match result like a dictionary where the keys will be the name of each group.

Bracket expressions — []#

[abc]            matches a string that has either an a or a b or a c -> is the same as a|b|c [a-c]            same as previous[a-fA-F0-9]      a string that represents a single hexadecimal digit, case insensitively [0-9]%           a string that has a character from 0 to 9 before a % sign[^a-zA-Z]        a string that has not a letter from a to z or from A to Z. In this case the ^ is used as negation of the expression 

Greedy and Lazy match#

The quantifiers ( * + {}) are greedy operators, so they expand the match as far as they can through the provided text.

For example, <.+> matches <div>simple div</div> in This is a <div> simple div</div> test. In order to catch only the div tag we can use a ? to make it lazy:

<.+?>            matches any character one or more times included inside < and >, expanding as needed 

Notice that a better solution should avoid the usage of . in favor of a more strict regex:

<[^<>]+>         matches any character except < or > one or more times included inside < and > 

Advanced topics#

Boundaries — \b and \B#

\babc\b          performs a "whole words only" search 

\b represents an anchor like caret (it is similar to $ and ^) matching positions where one side is a word character (like \w) and the other side is not a word character (for instance it may be the beginning of the string or a space character).

It comes with its negation, \B. This matches all positions where \b doesn’t match and could be if we want to find a search pattern fully surrounded by word characters.

\Babc\B          matches only if the pattern is fully surrounded by word characters 

Back-references — \1#

([abc])\1              using \1 it matches the same text that was matched by the first capturing group ([abc])([de])\2\1      we can use \2 (\3, \4, etc.) to identify the same text that was matched by the second (third, fourth, etc.) capturing group (?<foo>[abc])\k<foo>   we put the name foo to the group and we reference it later (\k<foo>). The result is the same of the first regex

Look-ahead and Look-behind — (?=) and (?<=)#

d(?=r)       matches a d only if is followed by r, but r will not be part of the overall regex match (?<=r)d      matches a d only if is preceded by an r, but r will not be part of the overall regex match 

You can use also the negation operator!

d(?!r)       matches a d only if is not followed by r, but r will not be part of the overall regex match (?<!r)d      matches a d only if is not preceded by an r, but r will not be part of the overall regex match

Summary#

As you’ve seen, the application fields of regex can be multiple and I’m sure that you’ve recognized at least one of these tasks among those seen in your developer career, here a quick list:

• data validation (for example check if a time string i well-formed)
• data scraping (especially web scraping, find all pages that contain a certain set of words eventually in a specific order)
• data wrangling (transform data from “raw” to another format)
• string parsing (for example catch all URL GET parameters, capture text inside a set of parenthesis)
• string replacement (for example, even during a code session using a common IDE to translate a Java or C# class in the respective JSON object — replace “;” with “,” make it lowercase, avoid type declaration, etc.)
• syntax highlighting, file renaming, packet sniffing and many other applications involving strings (where data need not be textual)

source: https://medium.com/factory-mind/regex-tutorial-a-simple-cheatsheet-by-examples-649dc1c3f285