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-rw-r--r--Doc/library/multiprocessing.rst8
1 files changed, 4 insertions, 4 deletions
diff --git a/Doc/library/multiprocessing.rst b/Doc/library/multiprocessing.rst
index af7af2b..006fd5e 100644
--- a/Doc/library/multiprocessing.rst
+++ b/Doc/library/multiprocessing.rst
@@ -1554,9 +1554,9 @@ with the :class:`Pool` class.
.. method:: apply(func[, args[, kwds]])
Call *func* with arguments *args* and keyword arguments *kwds*. It blocks
- till the result is ready. Given this blocks - :meth:`apply_async` is better suited
- for performing work in parallel. Additionally, the passed
- in function is only executed in one of the workers of the pool.
+ till the result is ready. Given this blocks, :meth:`apply_async` is better
+ suited for performing work in parallel. Additionally, the passed in
+ function is only executed in one of the workers of the pool.
.. method:: apply_async(func[, args[, kwds[, callback]]])
@@ -1569,7 +1569,7 @@ with the :class:`Pool` class.
.. method:: map(func, iterable[, chunksize])
- A parallel equivalent of the :func:`map` builtin function (it supports only
+ A parallel equivalent of the :func:`map` built-in function (it supports only
one *iterable* argument though). It blocks till the result is ready.
This method chops the iterable into a number of chunks which it submits to