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// Create and run a CPU-bound task
Task<long> heavyCalculationTask = Task.Run(() => {
    long sum = 0;
    for (int i = 0; i < 1000000; i++) {
        sum += i;
    }
    return sum;
});

// The main thread is not blocked and can do other work

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// Parallel loop for CPU-bound work
Parallel.For(0, 1000, i => {
    // Perform a heavy calculation
    double result = Math.Pow(i, 2);
    // ...
});

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using System;
using System.Threading;

public class MyClass
{
    public static void DoWork()
    {
        Console.WriteLine("Worker thread is running...");
        Thread.Sleep(2000); // Simulate work
        Console.WriteLine("Worker thread finished.");

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re.search(): test
re.match(): None
re.findall(): ['test', 'test']
re.sub(): This is a sample. My phone number is 123-456-7890. This is another sample.
re.split(): ['This is a ', '. My phone number is 123-456-7890. This is another ', '.']

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import re

text = "This is a test. My phone number is 123-456-7890. This is another test."
pattern = r"test"
replacement = "sample"

# 1. re.search() - Finds the first match anywhere in the string
search_match = re.search(pattern, text)
print(f"re.search(): {search_match.group() if search_match else None}")

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All captured dates: [('2025', '09', '04'), ('2026', '01', '15')]

First full match: 2025-09-04
Captured year: 2025
Captured month: 09
Captured day: 04

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import re

text = "Invoice for 2025-09-04 was paid. Next invoice due 2026-01-15."
# \d matches any digit (0-9)
# {4} matches exactly 4 digits
# The parentheses create capturing groups for year, month, and day

pattern = r"(\d{4})-(\d{2})-(\d{2})"

# Find all matches

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raw_data = [
    "Contact me at user.name@email.com or call me at (123) 456-7890. This is a note.",
    "Invoice from customer@example.net, phone: 987.654.3210. ID #892",
    "Sent from my mobile. My email is support@docsallover.io. Call me at 555-123-4567.",
    "Random text with no useful info.",
    "Our team can be reached at docsallover@corp.co, or by phone: +1-555-999-8888. "
]

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def extract_emails(data_list):
    """Finds all email addresses in a list of strings."""
    email_pattern = r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}"
    found_emails = []
    for text in data_list:
        emails = re.findall(email_pattern, text)
        found_emails.extend(emails)
    return found_emails

print("--- Emails Extracted ---")

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def standardize_phones(data_list):
    """Converts various phone formats to ###-###-####."""
    # Pattern to find common phone number formats with optional country code or punctuation.
    phone_pattern = r"(\+?\d{1,3}[-. ]?)?\(?(\d{3})\)?[-. ]?(\d{3})[-. ]?(\d{4})"
    
    # Replacement string using captured groups from the pattern
    # The \1, \2, etc., reference the groups in the pattern.
    replacement = r"(\2) \3-\4"
    
    cleaned_data = [re.sub(phone_pattern, replacement, text) for text in data_list]