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As of version 3.3, python includes the very promising concurrent.futuresmodule, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.
For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.
You can't install Bokeh in a virtualenv without modifying
/home/asim.ihsan/Programming/envs/default/lib/python2.7/site.py to add
the getsitepackages() from the Python 2.7 version of the file
in e.g. /usr/lib64/python2.7/site.py. This is because
virtualenv uses a Python 2.6 version of this file. This is an open
bug:
Example of rendering a matplotlib image directly to Flask view
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