9910166?Lastactivity

The given Python question requires solving a specific problem with different approaches. Let’s dive into the solutions:

Solution 1: Using Regular Expressions

import re

def extract_numbers(text):
    numbers = re.findall(r'd+', text)
    return numbers

input_text = "9910166?Lastactivity"
numbers = extract_numbers(input_text)
print(numbers)

In this solution, we use the re.findall() function from the re module to extract all the numbers from the given text. The regular expression r'd+' matches one or more digits. The function returns a list of all the matched numbers. The output of this solution will be:

[9910166]

Solution 2: Using String Manipulation

def extract_numbers(text):
    numbers = ''.join(filter(str.isdigit, text))
    return numbers

input_text = "9910166?Lastactivity"
numbers = extract_numbers(input_text)
print(numbers)

In this solution, we use the filter() function along with str.isdigit() to filter out all non-digit characters from the given text. The ''.join() function is then used to concatenate the filtered digits into a single string. The output of this solution will be:

9910166

Solution 3: Using List Comprehension

def extract_numbers(text):
    numbers = [char for char in text if char.isdigit()]
    return ''.join(numbers)

input_text = "9910166?Lastactivity"
numbers = extract_numbers(input_text)
print(numbers)

In this solution, we use list comprehension to iterate over each character in the given text and filter out the digits using char.isdigit(). The filtered digits are then joined using ''.join() to form a single string. The output of this solution will be:

9910166

After analyzing the three solutions, it can be concluded that Solution 1 using regular expressions is the better option. Regular expressions provide a powerful and flexible way to match patterns in text, making it easier to handle complex scenarios. Additionally, the re.findall() function simplifies the extraction process by directly returning a list of matched numbers.

Rate this post

2 Responses

  1. Wow, these solutions are mind-boggling! Solution 2 seems like a total game-changer. Who knew string manipulation could be so powerful? #mindblown

  2. Solution 1: Regex? Ugh, I can never wrap my head around those cryptic patterns!
    Solution 2: String manipulation FTW! Its like untangling a messy knot!
    Solution 3: List comprehension? Sounds like a fancy way to show off coding skills!

Leave a Reply

Your email address will not be published. Required fields are marked *

Table of Contents