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Threading and multiprocessing eye-candy.

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Pebble provides a neat API to manage threads and processes within an application.


Spawn a function within a thread:

from pebble import thread

def function(foo, bar=0):
    print foo + bar

if __name__ == "__main__":
    thrd = thread.spawn(target=function, args=[1], kwargs={'bar':2})

Most of the functions work as well as decorators:

from pebble import process

def function(foo, bar=0):
    print(foo + bar)

if __name__ == "__main__":
    proc = function(1, bar=2)

Run a job in a separate process and wait for its results:

from pebble import process

def function(foo, bar=0):
    return foo + bar

if __name__ == "__main__":
    task = function(1, bar=2)
    results = task.get()  # blocks until results are ready

Pools allow to execute several tasks without the need of spawning a new worker for each one of them:

from threading import current_thread
from pebble import thread

def task_done(task):
    results, thread_id = task.get()
    print "Task %s returned %d from thread %s" % (,

def do_job(foo, bar=0):
    return foo + bar, current_thread().ident

if __name__ == "__main__":
    with thread.Pool(workers=5) as pool:
        for i in range(0, 10):
            pool.schedule(do_job, args=(i, ), callback=task_done)

Check the documentation for more examples.


  • taskselect, queueselect, threadselect, procselect: wait for multiple Tasks, Queues, Threads and Processes
  • channels for message driven synchronization

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