concurrent.futures - High-Level Concurrency

from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor, as_completed

from concurrent.futures import ThreadPoolExecutor
import time

def task(n):
    time.sleep(1)
    return n * n

# Using context manager
with ThreadPoolExecutor(max_workers=5) as executor:
    # Submit tasks
    futures = [executor.submit(task, i) for i in range(10)]
    
    # Get results
    results = [f.result() for f in futures]
    print(results)

# Using map
with ThreadPoolExecutor(max_workers=5) as executor:
    results = executor.map(task, range(10))
    print(list(results))

from concurrent.futures import ProcessPoolExecutor

def cpu_intensive(n):
    return sum(i*i for i in range(n))

if __name__ == '__main__':
    with ProcessPoolExecutor(max_workers=4) as executor:
        results = executor.map(cpu_intensive, [10**6] * 10)
        print(list(results))

from concurrent.futures import ThreadPoolExecutor, as_completed
import time

def task(n):
    time.sleep(n)
    return n

with ThreadPoolExecutor(max_workers=5) as executor:
    futures = {executor.submit(task, i): i for i in range(5)}
    
    # Process as they complete
    for future in as_completed(futures):
        arg = futures[future]
        try:
            result = future.result()
            print(f"Task {arg} returned {result}")
        except Exception as e:
            print(f"Task {arg} raised {e}")

from concurrent.futures import ThreadPoolExecutor, wait, FIRST_COMPLETED, ALL_COMPLETED

def task(n):
    return n * n

with ThreadPoolExecutor() as executor:
    futures = [executor.submit(task, i) for i in range(10)]
    
    # Wait for all
    done, pending = wait(futures, return_when=ALL_COMPLETED)
    
    # Wait for first
    done, pending = wait(futures, return_when=FIRST_COMPLETED)