Snakes and Codes

Regular expressions, or regex for short, are patterns that are used to match text in strings. Python has built-in support for regular expressions through the re module, which allows programmers to search, replace, and manipulate text data using regex patterns. Basic syntax A regex pattern is a sequence of characters that defines a search pattern. The re module provides several functions for working with regex patterns, including match() , search() , findall() , and sub() . The basic syntax for using regex patterns in Python is as follows: import re pattern = r"regex_pattern" result = re.match(pattern, string) result = re.search(pattern, string) result = re.findall(pattern, string) result = re.sub(pattern, replacement, string) In this code block, the r before the pattern string indicates that it is a raw string, which allows backslashes to be used as literal characters in the pattern. The match() function searches for the pattern at the beginni...

Strings are a fundamental data type in Python that represent a sequence of characters. They are used to store and manipulate text, and are an essential part of many programs. Creating Strings In Python, you can create strings using single quotes, double quotes, or triple quotes. Here are some examples: 'hello' "world" """This is a multi-line string.""" Strings can also be created using string concatenation, which is the process of joining two or more strings together. In Python, string concatenation is done using the + operator. Here is an example: greeting = 'Hello' name = 'Alice' message = greeting + ', ' + name print(message) This code creates three strings: 'Hello' , 'Alice' , and 'Hello, Alice' , which is printed to the console. String Methods Python provides a number of built-in methods for working with strings. Here are some of the mo...