🧩Regex

📕 Notebooks

• ⭐ Regex Examples

• 🐼 String Processing with Pandas

🚩 Meta Characters

🎎 Character Matches

🎀 Symbol	📃 Description
.	Single character
^	Start of a string
$	End of a string
[]	One of the set of characters within []
[a-z]	One of the range of characters
[^abc]	Not a, b or c
[ab]	a or b (a and b are strings)
()	Scoping for operators
(?:<pattern>)	Passive grouping (details)
\	Escape character

🎇 Character Symbols

🎀 Symbol	📃 Description	🤯 Equivalent
\b	Word boundary
\d	Any digit	[0-9]
\D	Any non-digit	[^0-9]
\s	Any whitespace	[ \t\n\r\f\v]
\S	Any non-whitespace	[^ \t\n\r\f\v]
\w	Alphanumeric character	[a-zA-Z0-9_]
\W	Non-alphanumeric character	[^a-zA-Z0-9_]

💫 Repetitions

🎀 Symbol	📃 Description
*	Zero or more occurrences
+	One or more occurrences
?	Zero or one occurrences
{n}	Exactly n repetitions
{n,}	At least n repetitions
{,n}	At most n repetitions
{m,n}	At least m and at most n repetitions

🧐 Useful Examples

🧩 Regex	📜 Description
^.*SOME_STRING.*\n	Finds all lines start with specific string

🔗 References

• 📃 Regex Cheat sheet
• 🏃‍♀️ Regex quick start
• 🐛 Regex debugger
• 👀 Regex debugger and visualizer