A regular expression is a particular sequence of characters that uses a specialised syntax to help you match or find other strings or collections of strings. In the UNIX realm, regular expressions are commonly employed. In Python, the re module provides full support for Perl-style regular expressions. If an error occurs while compiling or utilising a regular expression, the re module throws the re.error exception. We'll go over two key routines that are utilised to deal with regular expressions. But first, a minor point: there are a number of letters that have unique meaning when employed in regular expression. We'll utilise Raw Strings as r'expression' to avoid any confusion while working with regular expressions.
Regex is extremely handy for searching enormous amounts of text, emails, and documents. Regex is also known as a "string matching programming language." Before getting into regular expressions and their python implementation, it's vital to understand how they're used in the real world.
Regular expressions are a type of pattern matching language which is used to match text patterns. They help us extract relevant information from strings. The Python programming language comes with a standard library that contains many functions for string manipulation and regular expression pattern matching.
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His way of teaching, explaining, and giving examples so that we can understand the concept is good but he don't give the complete information in some topics like in math module he told only about 4 modules but when I asked about it from chat GPT, it have me 22 modules so I recommend you to get the same information on the topic from other sources too so that you cal get full information as well.
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