diff --git a/Doc/includes/mp_benchmarks.py b/Doc/includes/mp_benchmarks.py
new file mode 100644
index 0000000..425d6de
--- /dev/null
+++ b/Doc/includes/mp_benchmarks.py
@@ -0,0 +1,235 @@
+#
+# Simple benchmarks for the multiprocessing package
+#
+
+import time, sys, multiprocessing, threading, Queue, gc
+
+if sys.platform == 'win32':
+    _timer = time.clock
+else:
+    _timer = time.time
+
+delta = 1
+
+
+#### TEST_QUEUESPEED
+
+def queuespeed_func(q, c, iterations):
+    a = '0' * 256
+    c.acquire()
+    c.notify()
+    c.release()
+
+    for i in xrange(iterations):
+        q.put(a)
+
+    q.put('STOP')
+
+def test_queuespeed(Process, q, c):
+    elapsed = 0
+    iterations = 1
+
+    while elapsed < delta:
+        iterations *= 2
+
+        p = Process(target=queuespeed_func, args=(q, c, iterations))
+        c.acquire()
+        p.start()
+        c.wait()
+        c.release()
+
+        result = None
+        t = _timer()
+
+        while result != 'STOP':
+            result = q.get()
+
+        elapsed = _timer() - t
+
+        p.join()
+
+    print iterations, 'objects passed through the queue in', elapsed, 'seconds'
+    print 'average number/sec:', iterations/elapsed
+
+
+#### TEST_PIPESPEED
+
+def pipe_func(c, cond, iterations):
+    a = '0' * 256
+    cond.acquire()
+    cond.notify()
+    cond.release()
+
+    for i in xrange(iterations):
+        c.send(a)
+
+    c.send('STOP')
+
+def test_pipespeed():
+    c, d = multiprocessing.Pipe()
+    cond = multiprocessing.Condition()
+    elapsed = 0
+    iterations = 1
+
+    while elapsed < delta:
+        iterations *= 2
+
+        p = multiprocessing.Process(target=pipe_func,
+                                    args=(d, cond, iterations))
+        cond.acquire()
+        p.start()
+        cond.wait()
+        cond.release()
+
+        result = None
+        t = _timer()
+
+        while result != 'STOP':
+            result = c.recv()
+
+        elapsed = _timer() - t
+        p.join()
+
+    print iterations, 'objects passed through connection in',elapsed,'seconds'
+    print 'average number/sec:', iterations/elapsed
+
+
+#### TEST_SEQSPEED
+
+def test_seqspeed(seq):
+    elapsed = 0
+    iterations = 1
+
+    while elapsed < delta:
+        iterations *= 2
+
+        t = _timer()
+
+        for i in xrange(iterations):
+            a = seq[5]
+
+        elapsed = _timer()-t
+
+    print iterations, 'iterations in', elapsed, 'seconds'
+    print 'average number/sec:', iterations/elapsed
+
+
+#### TEST_LOCK
+
+def test_lockspeed(l):
+    elapsed = 0
+    iterations = 1
+
+    while elapsed < delta:
+        iterations *= 2
+
+        t = _timer()
+
+        for i in xrange(iterations):
+            l.acquire()
+            l.release()
+
+        elapsed = _timer()-t
+
+    print iterations, 'iterations in', elapsed, 'seconds'
+    print 'average number/sec:', iterations/elapsed
+
+
+#### TEST_CONDITION
+
+def conditionspeed_func(c, N):
+    c.acquire()
+    c.notify()
+
+    for i in xrange(N):
+        c.wait()
+        c.notify()
+
+    c.release()
+
+def test_conditionspeed(Process, c):
+    elapsed = 0
+    iterations = 1
+
+    while elapsed < delta:
+        iterations *= 2
+
+        c.acquire()
+        p = Process(target=conditionspeed_func, args=(c, iterations))
+        p.start()
+
+        c.wait()
+
+        t = _timer()
+
+        for i in xrange(iterations):
+            c.notify()
+            c.wait()
+
+        elapsed = _timer()-t
+
+        c.release()
+        p.join()
+
+    print iterations * 2, 'waits in', elapsed, 'seconds'
+    print 'average number/sec:', iterations * 2 / elapsed
+
+####
+
+def test():
+    manager = multiprocessing.Manager()
+
+    gc.disable()
+
+    print '\n\t######## testing Queue.Queue\n'
+    test_queuespeed(threading.Thread, Queue.Queue(),
+                    threading.Condition())
+    print '\n\t######## testing multiprocessing.Queue\n'
+    test_queuespeed(multiprocessing.Process, multiprocessing.Queue(),
+                    multiprocessing.Condition())
+    print '\n\t######## testing Queue managed by server process\n'
+    test_queuespeed(multiprocessing.Process, manager.Queue(),
+                    manager.Condition())
+    print '\n\t######## testing multiprocessing.Pipe\n'
+    test_pipespeed()
+
+    print
+
+    print '\n\t######## testing list\n'
+    test_seqspeed(range(10))
+    print '\n\t######## testing list managed by server process\n'
+    test_seqspeed(manager.list(range(10)))
+    print '\n\t######## testing Array("i", ..., lock=False)\n'
+    test_seqspeed(multiprocessing.Array('i', range(10), lock=False))
+    print '\n\t######## testing Array("i", ..., lock=True)\n'
+    test_seqspeed(multiprocessing.Array('i', range(10), lock=True))
+
+    print
+
+    print '\n\t######## testing threading.Lock\n'
+    test_lockspeed(threading.Lock())
+    print '\n\t######## testing threading.RLock\n'
+    test_lockspeed(threading.RLock())
+    print '\n\t######## testing multiprocessing.Lock\n'
+    test_lockspeed(multiprocessing.Lock())
+    print '\n\t######## testing multiprocessing.RLock\n'
+    test_lockspeed(multiprocessing.RLock())
+    print '\n\t######## testing lock managed by server process\n'
+    test_lockspeed(manager.Lock())
+    print '\n\t######## testing rlock managed by server process\n'
+    test_lockspeed(manager.RLock())
+
+    print
+
+    print '\n\t######## testing threading.Condition\n'
+    test_conditionspeed(threading.Thread, threading.Condition())
+    print '\n\t######## testing multiprocessing.Condition\n'
+    test_conditionspeed(multiprocessing.Process, multiprocessing.Condition())
+    print '\n\t######## testing condition managed by a server process\n'
+    test_conditionspeed(multiprocessing.Process, manager.Condition())
+
+    gc.enable()
+
+if __name__ == '__main__':
+    multiprocessing.freeze_support()
+    test()
diff --git a/Doc/includes/mp_distributing.py b/Doc/includes/mp_distributing.py
new file mode 100644
index 0000000..4e8e52a
--- /dev/null
+++ b/Doc/includes/mp_distributing.py
@@ -0,0 +1,362 @@
+#
+# Module to allow spawning of processes on foreign host
+#
+# Depends on `multiprocessing` package -- tested with `processing-0.60`
+#
+
+__all__ = ['Cluster', 'Host', 'get_logger', 'current_process']
+
+#
+# Imports
+#
+
+import sys
+import os
+import tarfile
+import shutil
+import subprocess
+import logging
+import itertools
+import Queue
+
+try:
+    import cPickle as pickle
+except ImportError:
+    import pickle
+
+from multiprocessing import Process, current_process, cpu_count
+from multiprocessing import util, managers, connection, forking, pool
+
+#
+# Logging
+#
+
+def get_logger():
+    return _logger
+
+_logger = logging.getLogger('distributing')
+_logger.propogate = 0
+
+util.fix_up_logger(_logger)
+_formatter = logging.Formatter(util.DEFAULT_LOGGING_FORMAT)
+_handler = logging.StreamHandler()
+_handler.setFormatter(_formatter)
+_logger.addHandler(_handler)
+
+info = _logger.info
+debug = _logger.debug
+
+#
+# Get number of cpus
+#
+
+try:
+    slot_count = cpu_count()
+except NotImplemented:
+    slot_count = 1
+        
+#
+# Manager type which spawns subprocesses
+#
+
+class HostManager(managers.SyncManager):
+    '''
+    Manager type used for spawning processes on a (presumably) foreign host
+    '''    
+    def __init__(self, address, authkey):
+        managers.SyncManager.__init__(self, address, authkey)
+        self._name = 'Host-unknown'
+
+    def Process(self, group=None, target=None, name=None, args=(), kwargs={}):
+        if hasattr(sys.modules['__main__'], '__file__'):
+            main_path = os.path.basename(sys.modules['__main__'].__file__)
+        else:
+            main_path = None
+        data = pickle.dumps((target, args, kwargs))
+        p = self._RemoteProcess(data, main_path)
+        if name is None:
+            temp = self._name.split('Host-')[-1] + '/Process-%s'
+            name = temp % ':'.join(map(str, p.get_identity()))
+        p.set_name(name)
+        return p
+
+    @classmethod
+    def from_address(cls, address, authkey):
+        manager = cls(address, authkey)
+        managers.transact(address, authkey, 'dummy')
+        manager._state.value = managers.State.STARTED
+        manager._name = 'Host-%s:%s' % manager.address
+        manager.shutdown = util.Finalize(
+            manager, HostManager._finalize_host,
+            args=(manager._address, manager._authkey, manager._name),
+            exitpriority=-10
+            )
+        return manager
+
+    @staticmethod
+    def _finalize_host(address, authkey, name):
+        managers.transact(address, authkey, 'shutdown')
+        
+    def __repr__(self):
+        return '<Host(%s)>' % self._name
+
+#
+# Process subclass representing a process on (possibly) a remote machine
+#
+
+class RemoteProcess(Process):
+    '''
+    Represents a process started on a remote host
+    '''
+    def __init__(self, data, main_path):
+        assert not main_path or os.path.basename(main_path) == main_path
+        Process.__init__(self)
+        self._data = data
+        self._main_path = main_path
+        
+    def _bootstrap(self):
+        forking.prepare({'main_path': self._main_path})
+        self._target, self._args, self._kwargs = pickle.loads(self._data)
+        return Process._bootstrap(self)
+        
+    def get_identity(self):
+        return self._identity
+
+HostManager.register('_RemoteProcess', RemoteProcess)
+
+#
+# A Pool class that uses a cluster
+#
+
+class DistributedPool(pool.Pool):
+    
+    def __init__(self, cluster, processes=None, initializer=None, initargs=()):
+        self._cluster = cluster
+        self.Process = cluster.Process
+        pool.Pool.__init__(self, processes or len(cluster),
+                           initializer, initargs)
+        
+    def _setup_queues(self):
+        self._inqueue = self._cluster._SettableQueue()
+        self._outqueue = self._cluster._SettableQueue()
+        self._quick_put = self._inqueue.put
+        self._quick_get = self._outqueue.get
+
+    @staticmethod
+    def _help_stuff_finish(inqueue, task_handler, size):
+        inqueue.set_contents([None] * size)
+
+#
+# Manager type which starts host managers on other machines
+#
+
+def LocalProcess(**kwds):
+    p = Process(**kwds)
+    p.set_name('localhost/' + p.get_name())
+    return p
+
+class Cluster(managers.SyncManager):
+    '''
+    Represents collection of slots running on various hosts.
+    
+    `Cluster` is a subclass of `SyncManager` so it allows creation of
+    various types of shared objects.
+    '''
+    def __init__(self, hostlist, modules):
+        managers.SyncManager.__init__(self, address=('localhost', 0))
+        self._hostlist = hostlist
+        self._modules = modules
+        if __name__ not in modules:
+            modules.append(__name__)
+        files = [sys.modules[name].__file__ for name in modules]
+        for i, file in enumerate(files):
+            if file.endswith('.pyc') or file.endswith('.pyo'):
+                files[i] = file[:-4] + '.py'
+        self._files = [os.path.abspath(file) for file in files]
+        
+    def start(self):
+        managers.SyncManager.start(self)
+        
+        l = connection.Listener(family='AF_INET', authkey=self._authkey)
+        
+        for i, host in enumerate(self._hostlist):
+            host._start_manager(i, self._authkey, l.address, self._files)
+
+        for host in self._hostlist:
+            if host.hostname != 'localhost':
+                conn = l.accept()
+                i, address, cpus = conn.recv()
+                conn.close()
+                other_host = self._hostlist[i]
+                other_host.manager = HostManager.from_address(address,
+                                                              self._authkey)
+                other_host.slots = other_host.slots or cpus
+                other_host.Process = other_host.manager.Process
+            else:
+                host.slots = host.slots or slot_count
+                host.Process = LocalProcess
+
+        self._slotlist = [
+            Slot(host) for host in self._hostlist for i in range(host.slots)
+            ]
+        self._slot_iterator = itertools.cycle(self._slotlist)
+        self._base_shutdown = self.shutdown
+        del self.shutdown
+        
+    def shutdown(self):
+        for host in self._hostlist:
+            if host.hostname != 'localhost':
+                host.manager.shutdown()
+        self._base_shutdown()
+        
+    def Process(self, group=None, target=None, name=None, args=(), kwargs={}):
+        slot = self._slot_iterator.next()
+        return slot.Process(
+            group=group, target=target, name=name, args=args, kwargs=kwargs
+            )
+
+    def Pool(self, processes=None, initializer=None, initargs=()):
+        return DistributedPool(self, processes, initializer, initargs)
+    
+    def __getitem__(self, i):
+        return self._slotlist[i]
+
+    def __len__(self):
+        return len(self._slotlist)
+
+    def __iter__(self):
+        return iter(self._slotlist)
+
+#
+# Queue subclass used by distributed pool
+#
+
+class SettableQueue(Queue.Queue):
+    def empty(self):
+        return not self.queue
+    def full(self):
+        return self.maxsize > 0 and len(self.queue) == self.maxsize
+    def set_contents(self, contents):
+        # length of contents must be at least as large as the number of
+        # threads which have potentially called get()
+        self.not_empty.acquire()
+        try:
+            self.queue.clear()
+            self.queue.extend(contents)
+            self.not_empty.notifyAll()
+        finally:
+            self.not_empty.release()
+            
+Cluster.register('_SettableQueue', SettableQueue)
+
+#
+# Class representing a notional cpu in the cluster
+#
+
+class Slot(object):
+    def __init__(self, host):
+        self.host = host
+        self.Process = host.Process
+
+#
+# Host
+#
+
+class Host(object):
+    '''
+    Represents a host to use as a node in a cluster.
+
+    `hostname` gives the name of the host.  If hostname is not
+    "localhost" then ssh is used to log in to the host.  To log in as
+    a different user use a host name of the form
+    "username@somewhere.org"
+
+    `slots` is used to specify the number of slots for processes on
+    the host.  This affects how often processes will be allocated to
+    this host.  Normally this should be equal to the number of cpus on
+    that host.
+    '''
+    def __init__(self, hostname, slots=None):
+        self.hostname = hostname
+        self.slots = slots
+        
+    def _start_manager(self, index, authkey, address, files):
+        if self.hostname != 'localhost':
+            tempdir = copy_to_remote_temporary_directory(self.hostname, files)
+            debug('startup files copied to %s:%s', self.hostname, tempdir)
+            p = subprocess.Popen(
+                ['ssh', self.hostname, 'python', '-c',
+                 '"import os; os.chdir(%r); '
+                 'from distributing import main; main()"' % tempdir],
+                stdin=subprocess.PIPE
+                )
+            data = dict(
+                name='BoostrappingHost', index=index,
+                dist_log_level=_logger.getEffectiveLevel(),
+                dir=tempdir, authkey=str(authkey), parent_address=address
+                )
+            pickle.dump(data, p.stdin, pickle.HIGHEST_PROTOCOL)
+            p.stdin.close()
+
+#
+# Copy files to remote directory, returning name of directory
+#
+
+unzip_code = '''"
+import tempfile, os, sys, tarfile
+tempdir = tempfile.mkdtemp(prefix='distrib-')
+os.chdir(tempdir)
+tf = tarfile.open(fileobj=sys.stdin, mode='r|gz')
+for ti in tf:
+    tf.extract(ti)
+print tempdir
+"'''
+
+def copy_to_remote_temporary_directory(host, files):
+    p = subprocess.Popen(
+        ['ssh', host, 'python', '-c', unzip_code],
+        stdout=subprocess.PIPE, stdin=subprocess.PIPE
+        )
+    tf = tarfile.open(fileobj=p.stdin, mode='w|gz')
+    for name in files:
+        tf.add(name, os.path.basename(name))
+    tf.close()
+    p.stdin.close()
+    return p.stdout.read().rstrip()
+
+#
+# Code which runs a host manager
+#
+
+def main():   
+    # get data from parent over stdin
+    data = pickle.load(sys.stdin)
+    sys.stdin.close()
+
+    # set some stuff
+    _logger.setLevel(data['dist_log_level'])
+    forking.prepare(data)
+    
+    # create server for a `HostManager` object
+    server = managers.Server(HostManager._registry, ('', 0), data['authkey'])
+    current_process()._server = server
+    
+    # report server address and number of cpus back to parent
+    conn = connection.Client(data['parent_address'], authkey=data['authkey'])
+    conn.send((data['index'], server.address, slot_count))
+    conn.close()
+    
+    # set name etc
+    current_process().set_name('Host-%s:%s' % server.address)
+    util._run_after_forkers()
+    
+    # register a cleanup function
+    def cleanup(directory):
+        debug('removing directory %s', directory)
+        shutil.rmtree(directory)
+        debug('shutting down host manager')
+    util.Finalize(None, cleanup, args=[data['dir']], exitpriority=0)
+    
+    # start host manager
+    debug('remote host manager starting in %s', data['dir'])
+    server.serve_forever()
diff --git a/Doc/includes/mp_newtype.py b/Doc/includes/mp_newtype.py
new file mode 100644
index 0000000..b9edc9e
--- /dev/null
+++ b/Doc/includes/mp_newtype.py
@@ -0,0 +1,98 @@
+#
+# This module shows how to use arbitrary callables with a subclass of
+# `BaseManager`.
+#
+
+from multiprocessing import freeze_support
+from multiprocessing.managers import BaseManager, BaseProxy
+import operator
+
+##
+
+class Foo(object):
+    def f(self):
+        print 'you called Foo.f()'
+    def g(self):
+        print 'you called Foo.g()'
+    def _h(self):
+        print 'you called Foo._h()'
+
+# A simple generator function
+def baz():
+    for i in xrange(10):
+        yield i*i
+
+# Proxy type for generator objects
+class GeneratorProxy(BaseProxy):
+    _exposed_ = ('next', '__next__')
+    def __iter__(self):
+        return self
+    def next(self):
+        return self._callmethod('next')
+    def __next__(self):
+        return self._callmethod('__next__')
+
+# Function to return the operator module
+def get_operator_module():
+    return operator
+
+##
+
+class MyManager(BaseManager):
+    pass
+
+# register the Foo class; make `f()` and `g()` accessible via proxy
+MyManager.register('Foo1', Foo)
+
+# register the Foo class; make `g()` and `_h()` accessible via proxy
+MyManager.register('Foo2', Foo, exposed=('g', '_h'))
+
+# register the generator function baz; use `GeneratorProxy` to make proxies
+MyManager.register('baz', baz, proxytype=GeneratorProxy)
+
+# register get_operator_module(); make public functions accessible via proxy
+MyManager.register('operator', get_operator_module)
+
+##
+
+def test():
+    manager = MyManager()
+    manager.start()
+
+    print '-' * 20
+
+    f1 = manager.Foo1()
+    f1.f()
+    f1.g()
+    assert not hasattr(f1, '_h')
+    assert sorted(f1._exposed_) == sorted(['f', 'g'])
+
+    print '-' * 20
+
+    f2 = manager.Foo2()
+    f2.g()
+    f2._h()
+    assert not hasattr(f2, 'f')
+    assert sorted(f2._exposed_) == sorted(['g', '_h'])
+
+    print '-' * 20
+
+    it = manager.baz()
+    for i in it:
+        print '<%d>' % i,
+    print
+
+    print '-' * 20
+
+    op = manager.operator()
+    print 'op.add(23, 45) =', op.add(23, 45)
+    print 'op.pow(2, 94) =', op.pow(2, 94)
+    print 'op.getslice(range(10), 2, 6) =', op.getslice(range(10), 2, 6)
+    print 'op.repeat(range(5), 3) =', op.repeat(range(5), 3)
+    print 'op._exposed_ =', op._exposed_
+
+##
+
+if __name__ == '__main__':
+    freeze_support()
+    test()
diff --git a/Doc/includes/mp_pool.py b/Doc/includes/mp_pool.py
new file mode 100644
index 0000000..b937b86
--- /dev/null
+++ b/Doc/includes/mp_pool.py
@@ -0,0 +1,311 @@
+#
+# A test of `multiprocessing.Pool` class
+#
+
+import multiprocessing
+import time
+import random
+import sys
+
+#
+# Functions used by test code
+#
+
+def calculate(func, args):
+    result = func(*args)
+    return '%s says that %s%s = %s' % (
+        multiprocessing.current_process().get_name(),
+        func.__name__, args, result
+        )
+
+def calculatestar(args):
+    return calculate(*args)
+
+def mul(a, b):
+    time.sleep(0.5*random.random())
+    return a * b
+
+def plus(a, b):
+    time.sleep(0.5*random.random())
+    return a + b
+
+def f(x):
+    return 1.0 / (x-5.0)
+
+def pow3(x):
+    return x**3
+
+def noop(x):
+    pass
+
+#
+# Test code
+#
+
+def test():
+    print 'cpu_count() = %d\n' % multiprocessing.cpu_count()
+
+    #
+    # Create pool
+    #
+
+    PROCESSES = 4
+    print 'Creating pool with %d processes\n' % PROCESSES
+    pool = multiprocessing.Pool(PROCESSES)
+    print 'pool = %s' % pool
+    print
+
+    #
+    # Tests
+    #
+
+    TASKS = [(mul, (i, 7)) for i in range(10)] + \
+            [(plus, (i, 8)) for i in range(10)]
+
+    results = [pool.apply_async(calculate, t) for t in TASKS]
+    imap_it = pool.imap(calculatestar, TASKS)
+    imap_unordered_it = pool.imap_unordered(calculatestar, TASKS)
+
+    print 'Ordered results using pool.apply_async():'
+    for r in results:
+        print '\t', r.get()
+    print
+
+    print 'Ordered results using pool.imap():'
+    for x in imap_it:
+        print '\t', x
+    print
+
+    print 'Unordered results using pool.imap_unordered():'
+    for x in imap_unordered_it:
+        print '\t', x
+    print
+
+    print 'Ordered results using pool.map() --- will block till complete:'
+    for x in pool.map(calculatestar, TASKS):
+        print '\t', x
+    print
+
+    #
+    # Simple benchmarks
+    #
+
+    N = 100000
+    print 'def pow3(x): return x**3'
+
+    t = time.time()
+    A = map(pow3, xrange(N))
+    print '\tmap(pow3, xrange(%d)):\n\t\t%s seconds' % \
+          (N, time.time() - t)
+
+    t = time.time()
+    B = pool.map(pow3, xrange(N))
+    print '\tpool.map(pow3, xrange(%d)):\n\t\t%s seconds' % \
+          (N, time.time() - t)
+
+    t = time.time()
+    C = list(pool.imap(pow3, xrange(N), chunksize=N//8))
+    print '\tlist(pool.imap(pow3, xrange(%d), chunksize=%d)):\n\t\t%s' \
+          ' seconds' % (N, N//8, time.time() - t)
+
+    assert A == B == C, (len(A), len(B), len(C))
+    print
+
+    L = [None] * 1000000
+    print 'def noop(x): pass'
+    print 'L = [None] * 1000000'
+
+    t = time.time()
+    A = map(noop, L)
+    print '\tmap(noop, L):\n\t\t%s seconds' % \
+          (time.time() - t)
+
+    t = time.time()
+    B = pool.map(noop, L)
+    print '\tpool.map(noop, L):\n\t\t%s seconds' % \
+          (time.time() - t)
+
+    t = time.time()
+    C = list(pool.imap(noop, L, chunksize=len(L)//8))
+    print '\tlist(pool.imap(noop, L, chunksize=%d)):\n\t\t%s seconds' % \
+          (len(L)//8, time.time() - t)
+
+    assert A == B == C, (len(A), len(B), len(C))
+    print
+
+    del A, B, C, L
+
+    #
+    # Test error handling
+    #
+
+    print 'Testing error handling:'
+
+    try:
+        print pool.apply(f, (5,))
+    except ZeroDivisionError:
+        print '\tGot ZeroDivisionError as expected from pool.apply()'
+    else:
+        raise AssertionError, 'expected ZeroDivisionError'
+
+    try:
+        print pool.map(f, range(10))
+    except ZeroDivisionError:
+        print '\tGot ZeroDivisionError as expected from pool.map()'
+    else:
+        raise AssertionError, 'expected ZeroDivisionError'
+
+    try:
+        print list(pool.imap(f, range(10)))
+    except ZeroDivisionError:
+        print '\tGot ZeroDivisionError as expected from list(pool.imap())'
+    else:
+        raise AssertionError, 'expected ZeroDivisionError'
+
+    it = pool.imap(f, range(10))
+    for i in range(10):
+        try:
+            x = it.next()
+        except ZeroDivisionError:
+            if i == 5:
+                pass
+        except StopIteration:
+            break
+        else:
+            if i == 5:
+                raise AssertionError, 'expected ZeroDivisionError'
+
+    assert i == 9
+    print '\tGot ZeroDivisionError as expected from IMapIterator.next()'
+    print
+
+    #
+    # Testing timeouts
+    #
+
+    print 'Testing ApplyResult.get() with timeout:',
+    res = pool.apply_async(calculate, TASKS[0])
+    while 1:
+        sys.stdout.flush()
+        try:
+            sys.stdout.write('\n\t%s' % res.get(0.02))
+            break
+        except multiprocessing.TimeoutError:
+            sys.stdout.write('.')
+    print
+    print
+
+    print 'Testing IMapIterator.next() with timeout:',
+    it = pool.imap(calculatestar, TASKS)
+    while 1:
+        sys.stdout.flush()
+        try:
+            sys.stdout.write('\n\t%s' % it.next(0.02))
+        except StopIteration:
+            break
+        except multiprocessing.TimeoutError:
+            sys.stdout.write('.')
+    print
+    print
+
+    #
+    # Testing callback
+    #
+
+    print 'Testing callback:'
+
+    A = []
+    B = [56, 0, 1, 8, 27, 64, 125, 216, 343, 512, 729]
+
+    r = pool.apply_async(mul, (7, 8), callback=A.append)
+    r.wait()
+
+    r = pool.map_async(pow3, range(10), callback=A.extend)
+    r.wait()
+
+    if A == B:
+        print '\tcallbacks succeeded\n'
+    else:
+        print '\t*** callbacks failed\n\t\t%s != %s\n' % (A, B)
+
+    #
+    # Check there are no outstanding tasks
+    #
+
+    assert not pool._cache, 'cache = %r' % pool._cache
+
+    #
+    # Check close() methods
+    #
+
+    print 'Testing close():'
+
+    for worker in pool._pool:
+        assert worker.is_alive()
+
+    result = pool.apply_async(time.sleep, [0.5])
+    pool.close()
+    pool.join()
+
+    assert result.get() is None
+
+    for worker in pool._pool:
+        assert not worker.is_alive()
+
+    print '\tclose() succeeded\n'
+
+    #
+    # Check terminate() method
+    #
+
+    print 'Testing terminate():'
+
+    pool = multiprocessing.Pool(2)
+    DELTA = 0.1
+    ignore = pool.apply(pow3, [2])
+    results = [pool.apply_async(time.sleep, [DELTA]) for i in range(100)]
+    pool.terminate()
+    pool.join()
+
+    for worker in pool._pool:
+        assert not worker.is_alive()
+
+    print '\tterminate() succeeded\n'
+
+    #
+    # Check garbage collection
+    #
+
+    print 'Testing garbage collection:'
+
+    pool = multiprocessing.Pool(2)
+    DELTA = 0.1
+    processes = pool._pool
+    ignore = pool.apply(pow3, [2])
+    results = [pool.apply_async(time.sleep, [DELTA]) for i in range(100)]
+
+    results = pool = None
+
+    time.sleep(DELTA * 2)
+
+    for worker in processes:
+        assert not worker.is_alive()
+
+    print '\tgarbage collection succeeded\n'
+
+
+if __name__ == '__main__':
+    multiprocessing.freeze_support()
+
+    assert len(sys.argv) in (1, 2)
+
+    if len(sys.argv) == 1 or sys.argv[1] == 'processes':
+        print ' Using processes '.center(79, '-')
+    elif sys.argv[1] == 'threads':
+        print ' Using threads '.center(79, '-')
+        import multiprocessing.dummy as multiprocessing
+    else:
+        print 'Usage:\n\t%s [processes | threads]' % sys.argv[0]
+        raise SystemExit(2)
+
+    test()
diff --git a/Doc/includes/mp_synchronize.py b/Doc/includes/mp_synchronize.py
new file mode 100644
index 0000000..8cf11bd
--- /dev/null
+++ b/Doc/includes/mp_synchronize.py
@@ -0,0 +1,273 @@
+#
+# A test file for the `multiprocessing` package
+#
+
+import time, sys, random
+from Queue import Empty
+
+import multiprocessing               # may get overwritten
+
+
+#### TEST_VALUE
+
+def value_func(running, mutex):
+    random.seed()
+    time.sleep(random.random()*4)
+
+    mutex.acquire()
+    print '\n\t\t\t' + str(multiprocessing.current_process()) + ' has finished'
+    running.value -= 1
+    mutex.release()
+
+def test_value():
+    TASKS = 10
+    running = multiprocessing.Value('i', TASKS)
+    mutex = multiprocessing.Lock()
+
+    for i in range(TASKS):
+        p = multiprocessing.Process(target=value_func, args=(running, mutex))
+        p.start()
+
+    while running.value > 0:
+        time.sleep(0.08)
+        mutex.acquire()
+        print running.value,
+        sys.stdout.flush()
+        mutex.release()
+
+    print
+    print 'No more running processes'
+
+
+#### TEST_QUEUE
+
+def queue_func(queue):
+    for i in range(30):
+        time.sleep(0.5 * random.random())
+        queue.put(i*i)
+    queue.put('STOP')
+
+def test_queue():
+    q = multiprocessing.Queue()
+
+    p = multiprocessing.Process(target=queue_func, args=(q,))
+    p.start()
+
+    o = None
+    while o != 'STOP':
+        try:
+            o = q.get(timeout=0.3)
+            print o,
+            sys.stdout.flush()
+        except Empty:
+            print 'TIMEOUT'
+
+    print
+
+
+#### TEST_CONDITION
+
+def condition_func(cond):
+    cond.acquire()
+    print '\t' + str(cond)
+    time.sleep(2)
+    print '\tchild is notifying'
+    print '\t' + str(cond)
+    cond.notify()
+    cond.release()
+
+def test_condition():
+    cond = multiprocessing.Condition()
+
+    p = multiprocessing.Process(target=condition_func, args=(cond,))
+    print cond
+
+    cond.acquire()
+    print cond
+    cond.acquire()
+    print cond
+
+    p.start()
+
+    print 'main is waiting'
+    cond.wait()
+    print 'main has woken up'
+
+    print cond
+    cond.release()
+    print cond
+    cond.release()
+
+    p.join()
+    print cond
+
+
+#### TEST_SEMAPHORE
+
+def semaphore_func(sema, mutex, running):
+    sema.acquire()
+
+    mutex.acquire()
+    running.value += 1
+    print running.value, 'tasks are running'
+    mutex.release()
+
+    random.seed()
+    time.sleep(random.random()*2)
+
+    mutex.acquire()
+    running.value -= 1
+    print '%s has finished' % multiprocessing.current_process()
+    mutex.release()
+
+    sema.release()
+
+def test_semaphore():
+    sema = multiprocessing.Semaphore(3)
+    mutex = multiprocessing.RLock()
+    running = multiprocessing.Value('i', 0)
+
+    processes = [
+        multiprocessing.Process(target=semaphore_func,
+                                args=(sema, mutex, running))
+        for i in range(10)
+        ]
+
+    for p in processes:
+        p.start()
+
+    for p in processes:
+        p.join()
+
+
+#### TEST_JOIN_TIMEOUT
+
+def join_timeout_func():
+    print '\tchild sleeping'
+    time.sleep(5.5)
+    print '\n\tchild terminating'
+
+def test_join_timeout():
+    p = multiprocessing.Process(target=join_timeout_func)
+    p.start()
+
+    print 'waiting for process to finish'
+
+    while 1:
+        p.join(timeout=1)
+        if not p.is_alive():
+            break
+        print '.',
+        sys.stdout.flush()
+
+
+#### TEST_EVENT
+
+def event_func(event):
+    print '\t%r is waiting' % multiprocessing.current_process()
+    event.wait()
+    print '\t%r has woken up' % multiprocessing.current_process()
+
+def test_event():
+    event = multiprocessing.Event()
+
+    processes = [multiprocessing.Process(target=event_func, args=(event,))
+                 for i in range(5)]
+
+    for p in processes:
+        p.start()
+
+    print 'main is sleeping'
+    time.sleep(2)
+
+    print 'main is setting event'
+    event.set()
+
+    for p in processes:
+        p.join()
+
+
+#### TEST_SHAREDVALUES
+
+def sharedvalues_func(values, arrays, shared_values, shared_arrays):
+    for i in range(len(values)):
+        v = values[i][1]
+        sv = shared_values[i].value
+        assert v == sv
+
+    for i in range(len(values)):
+        a = arrays[i][1]
+        sa = list(shared_arrays[i][:])
+        assert a == sa
+
+    print 'Tests passed'
+
+def test_sharedvalues():
+    values = [
+        ('i', 10),
+        ('h', -2),
+        ('d', 1.25)
+        ]
+    arrays = [
+        ('i', range(100)),
+        ('d', [0.25 * i for i in range(100)]),
+        ('H', range(1000))
+        ]
+
+    shared_values = [multiprocessing.Value(id, v) for id, v in values]
+    shared_arrays = [multiprocessing.Array(id, a) for id, a in arrays]
+
+    p = multiprocessing.Process(
+        target=sharedvalues_func,
+        args=(values, arrays, shared_values, shared_arrays)
+        )
+    p.start()
+    p.join()
+
+    assert p.get_exitcode() == 0
+
+
+####
+
+def test(namespace=multiprocessing):
+    global multiprocessing
+
+    multiprocessing = namespace
+
+    for func in [ test_value, test_queue, test_condition,
+                  test_semaphore, test_join_timeout, test_event,
+                  test_sharedvalues ]:
+
+        print '\n\t######## %s\n' % func.__name__
+        func()
+
+    ignore = multiprocessing.active_children()      # cleanup any old processes
+    if hasattr(multiprocessing, '_debug_info'):
+        info = multiprocessing._debug_info()
+        if info:
+            print info
+            raise ValueError, 'there should be no positive refcounts left'
+
+
+if __name__ == '__main__':
+    multiprocessing.freeze_support()
+
+    assert len(sys.argv) in (1, 2)
+
+    if len(sys.argv) == 1 or sys.argv[1] == 'processes':
+        print ' Using processes '.center(79, '-')
+        namespace = multiprocessing
+    elif sys.argv[1] == 'manager':
+        print ' Using processes and a manager '.center(79, '-')
+        namespace = multiprocessing.Manager()
+        namespace.Process = multiprocessing.Process
+        namespace.current_process = multiprocessing.current_process
+        namespace.active_children = multiprocessing.active_children
+    elif sys.argv[1] == 'threads':
+        print ' Using threads '.center(79, '-')
+        import multiprocessing.dummy as namespace
+    else:
+        print 'Usage:\n\t%s [processes | manager | threads]' % sys.argv[0]
+        raise SystemExit, 2
+
+    test(namespace)
diff --git a/Doc/includes/mp_webserver.py b/Doc/includes/mp_webserver.py
new file mode 100644
index 0000000..15d2b6b
--- /dev/null
+++ b/Doc/includes/mp_webserver.py
@@ -0,0 +1,67 @@
+#
+# Example where a pool of http servers share a single listening socket
+#
+# On Windows this module depends on the ability to pickle a socket
+# object so that the worker processes can inherit a copy of the server
+# object.  (We import `multiprocessing.reduction` to enable this pickling.)
+#
+# Not sure if we should synchronize access to `socket.accept()` method by
+# using a process-shared lock -- does not seem to be necessary.
+#
+
+import os
+import sys
+
+from multiprocessing import Process, current_process, freeze_support
+from BaseHTTPServer import HTTPServer
+from SimpleHTTPServer import SimpleHTTPRequestHandler
+
+if sys.platform == 'win32':
+    import multiprocessing.reduction    # make sockets pickable/inheritable
+
+
+def note(format, *args):
+    sys.stderr.write('[%s]\t%s\n' % (current_process().get_name(),format%args))
+
+
+class RequestHandler(SimpleHTTPRequestHandler):
+    # we override log_message() to show which process is handling the request
+    def log_message(self, format, *args):
+        note(format, *args)
+
+def serve_forever(server):
+    note('starting server')
+    try:
+        server.serve_forever()
+    except KeyboardInterrupt:
+        pass
+
+
+def runpool(address, number_of_processes):
+    # create a single server object -- children will each inherit a copy
+    server = HTTPServer(address, RequestHandler)
+
+    # create child processes to act as workers
+    for i in range(number_of_processes-1):
+        Process(target=serve_forever, args=(server,)).start()
+
+    # main process also acts as a worker
+    serve_forever(server)
+
+
+def test():
+    DIR = os.path.join(os.path.dirname(__file__), '..')
+    ADDRESS = ('localhost', 8000)
+    NUMBER_OF_PROCESSES = 4
+
+    print 'Serving at http://%s:%d using %d worker processes' % \
+          (ADDRESS[0], ADDRESS[1], NUMBER_OF_PROCESSES)
+    print 'To exit press Ctrl-' + ['C', 'Break'][sys.platform=='win32']
+
+    os.chdir(DIR)
+    runpool(ADDRESS, NUMBER_OF_PROCESSES)
+
+
+if __name__ == '__main__':
+    freeze_support()
+    test()
diff --git a/Doc/includes/mp_workers.py b/Doc/includes/mp_workers.py
new file mode 100644
index 0000000..795e6cb
--- /dev/null
+++ b/Doc/includes/mp_workers.py
@@ -0,0 +1,87 @@
+#
+# Simple example which uses a pool of workers to carry out some tasks.
+#
+# Notice that the results will probably not come out of the output
+# queue in the same in the same order as the corresponding tasks were
+# put on the input queue.  If it is important to get the results back
+# in the original order then consider using `Pool.map()` or
+# `Pool.imap()` (which will save on the amount of code needed anyway).
+#
+
+import time
+import random
+
+from multiprocessing import Process, Queue, current_process, freeze_support
+
+#
+# Function run by worker processes
+#
+
+def worker(input, output):
+    for func, args in iter(input.get, 'STOP'):
+        result = calculate(func, args)
+        output.put(result)
+
+#
+# Function used to calculate result
+#
+
+def calculate(func, args):
+    result = func(*args)
+    return '%s says that %s%s = %s' % \
+        (current_process().get_name(), func.__name__, args, result)
+
+#
+# Functions referenced by tasks
+#
+
+def mul(a, b):
+    time.sleep(0.5*random.random())
+    return a * b
+
+def plus(a, b):
+    time.sleep(0.5*random.random())
+    return a + b
+
+#
+#
+#
+
+def test():
+    NUMBER_OF_PROCESSES = 4
+    TASKS1 = [(mul, (i, 7)) for i in range(20)]
+    TASKS2 = [(plus, (i, 8)) for i in range(10)]
+
+    # Create queues
+    task_queue = Queue()
+    done_queue = Queue()
+
+    # Submit tasks
+    for task in TASKS1:
+        task_queue.put(task)
+
+    # Start worker processes
+    for i in range(NUMBER_OF_PROCESSES):
+        Process(target=worker, args=(task_queue, done_queue)).start()
+
+    # Get and print results
+    print 'Unordered results:'
+    for i in range(len(TASKS1)):
+        print '\t', done_queue.get()
+
+    # Add more tasks using `put()`
+    for task in TASKS2:
+        task_queue.put(task)
+
+    # Get and print some more results
+    for i in range(len(TASKS2)):
+        print '\t', done_queue.get()
+
+    # Tell child processes to stop
+    for i in range(NUMBER_OF_PROCESSES):
+        task_queue.put('STOP')
+
+
+if __name__ == '__main__':
+    freeze_support()
+    test()