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| author | Antoine Pitrou <solipsis@pitrou.net> | 2011-01-06 16:31:28 (GMT) |
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| committer | Antoine Pitrou <solipsis@pitrou.net> | 2011-01-06 16:31:28 (GMT) |
| commit | 003428158bc6cb2bcac766b4394d1519172c22cb (patch) | |
| tree | 3600fdfd6da17133e1f376bf074116d9b6ddf924 /Doc/library | |
| parent | f8dc9ca84e112203ddcf4f8499acd65b911bfa80 (diff) | |
| download | cpython-003428158bc6cb2bcac766b4394d1519172c22cb.zip cpython-003428158bc6cb2bcac766b4394d1519172c22cb.tar.gz cpython-003428158bc6cb2bcac766b4394d1519172c22cb.tar.bz2 | |
Elaborate about the GIL.
Diffstat (limited to 'Doc/library')
| -rw-r--r-- | Doc/library/threading.rst | 12 |
1 files changed, 12 insertions, 0 deletions
diff --git a/Doc/library/threading.rst b/Doc/library/threading.rst index 371ac90..74c9976 100644 --- a/Doc/library/threading.rst +++ b/Doc/library/threading.rst @@ -17,11 +17,23 @@ The :mod:`dummy_threading` module is provided for situations where methods and functions in this module in the Python 2.x series are still supported by this module. +.. impl-detail:: + + Due to the :term:`Global Interpreter Lock`, in CPython 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 of 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. + .. seealso:: Latest version of the :source:`threading module Python source code <Lib/threading.py>` + This module defines the following functions and objects: |