https://github.com/python/cpython/commit/30927fa4658a36f647155e9582b598434582a5ce
commit: 30927fa4658a36f647155e9582b598434582a5ce
branch: 3.7
author: Guanzhong Chen <quantum2048@gmail.com>
committer: pablogsal <Pablogsal@gmail.com>
date: 2021-02-26T10:28:43Z
summary:
[3.7] bpo-43293: Doc: move note about GIL to top of threading module (GH-24622) (#24642)
The note about the GIL was buried pretty deep in the threading documentation,
and this made it hard for first time users to discover why their attempts
at using threading to parallelizing their application did not work.
In this commit, the note is moved to the top of the module documention for
visibility..
(cherry picked from commit 32181be6081f6c70a1e0bd0540050805c8e88e83)
Co-authored-by: Guanzhong Chen <quantum2048@gmail.com>
files:
M Doc/library/threading.rst
diff --git a/Doc/library/threading.rst b/Doc/library/threading.rst
index 6f56b220b19f7..7e4d003caa5a9 100644
--- a/Doc/library/threading.rst
+++ b/Doc/library/threading.rst
@@ -21,6 +21,18 @@ level :mod:`_thread` module. See also the :mod:`queue` module.
supported by this module.
+.. impl-detail::
+
+ In CPython, due to the :term:`Global Interpreter Lock`, only one thread
+ can execute Python code at once (even though certain performance-oriented
+ libraries might overcome this limitation).
+ If you want your application to make better use of the computational
+ resources of multi-core machines, you are advised to use
+ :mod:`multiprocessing` or :class:`concurrent.futures.ProcessPoolExecutor`.
+ However, threading is still an appropriate model if you want to run
+ multiple I/O-bound tasks simultaneously.
+
+
This module defines the following functions:
@@ -323,18 +335,6 @@ since it is impossible to detect the termination of alien threads.
property instead.
-.. impl-detail::
-
- In CPython, due to the :term:`Global Interpreter Lock`, only one thread
- can execute Python code at once (even though certain performance-oriented
- libraries might overcome this limitation).
- If you want your application to make better use of the computational
- resources of multi-core machines, you are advised to use
- :mod:`multiprocessing` or :class:`concurrent.futures.ProcessPoolExecutor`.
- However, threading is still an appropriate model if you want to run
- multiple I/O-bound tasks simultaneously.
-
-
.. _lock-objects:
Lock Objects
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commit: 30927fa4658a36f647155e9582b598434582a5ce
branch: 3.7
author: Guanzhong Chen <quantum2048@gmail.com>
committer: pablogsal <Pablogsal@gmail.com>
date: 2021-02-26T10:28:43Z
summary:
[3.7] bpo-43293: Doc: move note about GIL to top of threading module (GH-24622) (#24642)
The note about the GIL was buried pretty deep in the threading documentation,
and this made it hard for first time users to discover why their attempts
at using threading to parallelizing their application did not work.
In this commit, the note is moved to the top of the module documention for
visibility..
(cherry picked from commit 32181be6081f6c70a1e0bd0540050805c8e88e83)
Co-authored-by: Guanzhong Chen <quantum2048@gmail.com>
files:
M Doc/library/threading.rst
diff --git a/Doc/library/threading.rst b/Doc/library/threading.rst
index 6f56b220b19f7..7e4d003caa5a9 100644
--- a/Doc/library/threading.rst
+++ b/Doc/library/threading.rst
@@ -21,6 +21,18 @@ level :mod:`_thread` module. See also the :mod:`queue` module.
supported by this module.
+.. impl-detail::
+
+ In CPython, due to the :term:`Global Interpreter Lock`, only one thread
+ can execute Python code at once (even though certain performance-oriented
+ libraries might overcome this limitation).
+ If you want your application to make better use of the computational
+ resources of multi-core machines, you are advised to use
+ :mod:`multiprocessing` or :class:`concurrent.futures.ProcessPoolExecutor`.
+ However, threading is still an appropriate model if you want to run
+ multiple I/O-bound tasks simultaneously.
+
+
This module defines the following functions:
@@ -323,18 +335,6 @@ since it is impossible to detect the termination of alien threads.
property instead.
-.. impl-detail::
-
- In CPython, due to the :term:`Global Interpreter Lock`, only one thread
- can execute Python code at once (even though certain performance-oriented
- libraries might overcome this limitation).
- If you want your application to make better use of the computational
- resources of multi-core machines, you are advised to use
- :mod:`multiprocessing` or :class:`concurrent.futures.ProcessPoolExecutor`.
- However, threading is still an appropriate model if you want to run
- multiple I/O-bound tasks simultaneously.
-
-
.. _lock-objects:
Lock Objects
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Python-checkins mailing list
Python-checkins@python.org
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