Python re.purge Function
The re.purge function in Python’s re module clears the regular expression cache. This function is useful for freeing up memory used by compiled regular expressions that are no longer needed.
The re.purge function in Python’s re module clears the regular expression cache. This function is useful for freeing up memory used by compiled regular expressions that are no longer needed.
The re.escape function in Python’s re module escapes all non-alphanumeric characters in a string. This function is useful when you need to treat a string as a literal value in a regular expression, ensuring that any special characters are not interpreted as regex metacharacters.
The re.subn function in Python’s re module performs the same task as re.sub, but also returns the number of substitutions made. This function is useful when you need to know both the result of the substitution and how many substitutions were made.
The re.sub function in Python’s re module replaces occurrences of a pattern in a string with a specified replacement string. This function is useful for performing substitutions in text based on regular expression patterns.
The re.finditer function in Python’s re module returns an iterator yielding match objects for all non-overlapping matches of a pattern in a string. This function is useful for iterating over all matches and accessing their details.
The re.findall function in Python’s re module finds all occurrences of a pattern in a string and returns them as a list. This function is useful for extracting all matches of a pattern from a string.
The re.split function in Python’s re module splits a string by the occurrences of a regular expression pattern. This function is useful for splitting strings in more complex ways than the built-in str.split method allows.
The re.fullmatch function in Python’s re module attempts to match a regular expression pattern to the entire string. This function is useful for validating strings where the entire string must match a specific pattern.
The re.match function in Python’s re module attempts to match a regular expression pattern to the beginning of a string. This function is useful for checking if a string starts with a specific pattern.
The re.search function in Python’s re module searches a string for a match to a regular expression pattern and returns a match object if there is a match. This function is useful for finding the first occurrence of a pattern in a string.
The re.compile function in Python’s re module compiles a regular expression pattern into a regular expression object. This object can then be used for matching, searching, and other operations. Compiling a pattern once and using it multiple times can improve performance, especially when the pattern is used frequently.