Regular expressions, commonly abbreviated as "regex" or "regexp", are powerful patterns used for string matching and manipulation. Originating from formal language theory in computer science, they have become an indispensable tool in text processing, data validation, and search operations across programming and scripting languages. By defining specific patterns of characters, regex allows users to identify, extract, replace, or split strings in ways that simple string methods cannot achieve, making them a cornerstone of sophisticated text manipulation in software development.
The regex I will be explaining is used for verifying that a piece of user input is a valid email address: /^(\w+|[0-9]+)@\w+\.\w/i
- Anchors
- Quantifiers
- Grouping Constructs
- Bracket Expressions
- Character Classes
- The OR Operator
- Flags
- Character Escapes
the different pieces of the regex (see below)
^
: This is the start of line/string anchor. It asserts that the subsequent pattern must match at the very beginning of the string or line. In other words, the string must start with a letter or number.
+
: this quantifier means that the preceding element must be used one or more times.
(\w+|0-9+)
: This grouping construct is denoted by the paranthesis, and allows the users input to include either one or more word characters or one or more numbers.
[0-9]
: marches any single digit from 0 to 9.
\w
: allows for a word character, such as a-z.
0-9
: allows for any number from 0 to 9.
(\w+|0-9+)
: the regex will attempt to match either one or more word characters OR one or more digits.
i
: this is the case insensitive flag, which allows the regex to match characters regardless of case. For example, "A" or "a" would both be considered matches for the pattern \w
.
\.
: forces the user to input a dot, as opposed to using .
as a metacharacter
\w
: allows the user to enter any word character, as oppossed to forcing a "w"
Zach Antunes is a student in the UC Berkeley full stack coding bootcamp. GitHub: https://github.com/t2na