python regex matching names with findall

Regular expressions (regex) in Python provide a powerful way to search, match, and manipulate text. In this tutorial, we'll focus on using the findall() function from the re module to extract names from a given text using regex patterns.
The findall() function is a part of the re module in Python and is used to find all occurrences of a pattern in a string. It returns a list of all non-overlapping matches as strings.
Let's consider a common scenario where you want to extract names from a text. Names can vary in format, including first names, last names, and sometimes middle names. We'll create a simple regex pattern to match common name formats.
This regex pattern breaks down as follows:
Now, let's use the findall() function with our regex pattern to extract names from a given text.
In this example, the findall() function searches for occurrences of the regex pattern in the given text. The resulting matches list contains all the names found.
Using the findall() function with regex patterns provides a flexible and efficient way to extract names or any other specific patterns from a text. Experiment with different regex patterns to suit your specific use case and

Regular expressions (regex) are powerful tools for pattern matching in strings. In Python, the re module provides support for working with regular expressions. This tutorial will focus on using the findall() function from the re module to match names in a given text.
The findall() function is a part of the re module and is used to find all occurrences of a pattern in a string. It returns a list of all non-overlapping matches in the string. Here's the basic syntax:
Let's say you have a text containing names, and you want to extract all the names using a regular expression. Names can have various formats, but for simplicity, let's consider names with a first name and a last name, both starting with an uppercase letter.
Here's a simple example:
In this example:
Adjust the pattern according to the specific format of names in your text.
For the given example, the output would be:
Feel free to experiment with different patterns based on your specific requirements for matching names.
Using the findall() function in combination with regular expressions allows you to extract specific patterns from t