51k Rediffmail.com.txt 【2026】

# Counting unique emails and their frequency email_counts = Counter(emails) print(f"Total Unique Emails: {len(email_counts)}") print(f"Most Common Email (if any): {email_counts.most_common(1)}")

import re from collections import Counter 51k rediffmail.com.txt

# Example usage filename = "51k_rediffmail.com.txt" analyze_rediffmail_file(filename) This example performs basic analysis like counting unique emails, checking for the most common email (if any), and calculating the average length of usernames. For a deeper analysis, consider integrating more sophisticated natural language processing (NLP) techniques or data visualization tools. # Counting unique emails and their frequency email_counts

def analyze_rediffmail_file(filename): email_regex = r'\b[A-Za-z0-9._%+-]+@rediffmail\.com\b' emails = [] with open(filename, 'r', encoding='utf-8') as file: for line in file: potential_emails = re.findall(email_regex, line) emails.extend(potential_emails) 51k rediffmail.com.txt