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author | Antoine Pitrou <solipsis@pitrou.net> | 2011-02-28 22:04:51 (GMT) |
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committer | Antoine Pitrou <solipsis@pitrou.net> | 2011-02-28 22:04:51 (GMT) |
commit | d6d17c58af8002000ecd1326c7accafb5af8a9db (patch) | |
tree | 0698b2a16678a88dbed771d72b45c452d695b232 /Doc/library/threading.rst | |
parent | fcf81fd0310ba505c46d33a82f2b782578ed1a98 (diff) | |
download | cpython-d6d17c58af8002000ecd1326c7accafb5af8a9db.zip cpython-d6d17c58af8002000ecd1326c7accafb5af8a9db.tar.gz cpython-d6d17c58af8002000ecd1326c7accafb5af8a9db.tar.bz2 |
No need to put this at top
Diffstat (limited to 'Doc/library/threading.rst')
-rw-r--r-- | Doc/library/threading.rst | 23 |
1 files changed, 12 insertions, 11 deletions
diff --git a/Doc/library/threading.rst b/Doc/library/threading.rst index 7d192b5..df47045 100644 --- a/Doc/library/threading.rst +++ b/Doc/library/threading.rst @@ -20,17 +20,6 @@ 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. - This module defines the following functions and objects: @@ -374,6 +363,18 @@ impossible to detect the termination of alien threads. property instead. +.. 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. + + .. _lock-objects: Lock Objects |