This article talks about how you can clear the regular expression cache in Python. Regular expressions in Python are used to find patterns in text, but they also use an internal cache to store frequently used expressions for faster execution. We may sometimes need to clear this cache to free up memory or reset stored patterns. You can do this using Python's re.purge() method. Why Clear Regex Cache? You need to clear the regex cache for the following reasons - Too many stored patterns may consume your system's memory. If you are dynamically updating regex patterns, deleting the cache ... Read More

This article explains how to work with Regular Expressions (RegEx) in Python using the "re" module. RegEx is a sequence of characters that defines a search pattern. Below are different ways to use RegEx in Python. These are some of the essential methods in Python's re module that help with pattern matching, searching, replacing, and extracting data efficiently. Using the re.match() method Using the re.findall() method Using the re.search() method Using the re.sub() and re.subn() methods Using the re.split() method Using re.match() Method The re.match() method checks if a string matches a given pattern at the ... Read More

This article will discuss how to compare regular expressions in Perl and Python. Regular expressions, or regex, are patterns used to match strings. Both Perl and Python support regex, but they have some differences in syntax and usage. For example, you write a regular expression like this in Perl - $text =~ /pattern/ But you write it like this in Python - re.search('pattern', text) So in the below section of this article will show the similarities and differences between Perl and Python regex with simple examples - ... Read More

This article will discuss the difference between dot '.', question mark '?', and asterisk'*' in Python regular expressions. In regular expressions, '.' means any one character except the newline, '*' means zero or more times of the character or group before it. and '?' means zero or one time of the character or group before it. In some types of regex, ? Also makes things non-greedy. As we have seen in Python regular expressions, these symbols have different meanings, so let us understand these symbols using the examples - Usage of Dot (.) The following example will use ... Read More

This article will discuss how to escape all the special characters for regular expressions in Python. So when you work with regular expressions in Python, some characters have special meanings like *, ., +, ?, (, ), etc. These characters are special characters in regular expressions. If you want to look for them as plain text, you can escape them. Python provides a special function to do this task, which is the re.escape() function. The re.escape() function automatically adds a backslash \ before each special character in the given string. By using it, we can make the string safe to ... Read More

Python provides a regular expression-specific built-in library named "re". You only need to import it to use its features (such as search, match, findall, etc.). They'll provide you back a Match object with helpful techniques for modifying your outcomes. According to Wikipedia, regular expressions (also known as regexp) are collections of characters that specify a search pattern. It is a tool that enables you to filter, extract, or alter a series of characters. It has also been discovered that regular expressions function more quickly when the "in" operator is used. Regular expressions have performance difficulties and are generally difficult to debug and maintain. ... Read More

Regular expressions, or regex, are useful in Python when you need to find patterns in text. If you want to perform verification for a string that contains a date, in this case regex is useful. In this article, we will learn simple ways to match date strings using Python regex in the coming sections. Dates can come in many formats, like - YYYY-MM-DD YYYY/MM/DD YYYY.MM.DD YYYYMMDD DD-MM-YYYY DD/MM/YYYY Regular expression helps us find these patterns easily, so we can validate or extract dates from the given text. There are several ways to match a date string ... Read More

This article will discuss what raw string notation is in Python regular expressions. Regex is a set of characters that specifies a search pattern and is mostly used in text processors and search engines to execute find and replace operations.In Python,  regular expressions are used to find patterns in text. But some characters (like and \t) may create problems. Raw string notation (r'') can be useful here! This allows Python to treat backslashes as normal characters, which makes regex patterns easy to create and interpret. Python uses "" to escape characters in raw strings. This can change your regex pattern, ... Read More

There are various ways to get the file creation and modification datetime in Python. We will use different methods from the OS and pathlib module to get the file creation and modification datetime in Python. Using OS Module: File Creation Time On Windows Using OS Module: File Modification Time On Windows ... Read More

In this article, we convert a date string to a date object. We will use the strptime() method to convert a date string to a date object, and we will also use the dateutil module for flexible date parsing. A date string is a date written in text form, like "09 May 2025" or "2025-05-09". To work with dates in Python, we will have to convert these strings into date objects. To achieve this, we can use Python's datetime and dateutil modules. Using the strptime() Function The strptime() method takes the date as input and converts it into a ... Read More