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Files and Folders in: ///lib64//python2.7

NameTypeSizeLast ModifiedActions
Demo Directory - -
Doc Directory - -
Tools Directory - -
bsddb Directory - -
compiler Directory - -
config Directory - -
ctypes Directory - -
curses Directory - -
distutils Directory - -
email Directory - -
encodings Directory - -
ensurepip Directory - -
hotshot Directory - -
idlelib Directory - -
importlib Directory - -
json Directory - -
lib-dynload Directory - -
lib-tk Directory - -
lib2to3 Directory - -
logging Directory - -
multiprocessing Directory - -
plat-linux2 Directory - -
pydoc_data Directory - -
site-packages Directory - -
sqlite3 Directory - -
test Directory - -
unittest Directory - -
wsgiref Directory - -
xml Directory - -
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�
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There are only two ways to have a program on a single processor do "more
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most popular way to do it, but there is another very different technique,
that lets you have nearly all the advantages of multi-threading, without
actually using multiple threads. it's really only practical if your program
is largely I/O bound. If your program is CPU bound, then pre-emptive
scheduled threads are probably what you really need. Network servers are
rarely CPU-bound, however.

If your operating system supports the select() system call in its I/O
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communication channels at once; doing other work while your I/O is taking
place in the "background."  Although this strategy can seem strange and
complex, especially at first, it is in many ways easier to understand and
control than multi-threaded programming. The module documented here solves
many of the difficult problems for you, making the task of building
sophisticated high-performance network servers and clients a snap.
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