Multiprocessing with Python

Mar 24, 2009 ... Learn to scale your Unix Python applications to multiple cores by using the
multiprocessing module which is built into Python 2.6. Multiprocessing mimics
parts of the threading API in Python to give the developer a high level of control
over flocks of processes, but also incorporates many additional features ...

Developer Central:Python Programmability in SPSS Statistics ...

The SPSS backend is NOT thread safe (and in fact Python threads can't run
concurrently anyway without special code to release the GIL). The Python
multiprocessing module allows one Python session to manage a set of processes
with an api that is similar to the threading module. Note that in internal ...

Charming Python: Implementing "weightless threads" with Python ...

Jun 1, 2002 ... David Mertz introduces weightless threads. Similar to Stackless Python
microthreads, but using standard Python 2.2 -- they allow for extremely large
numbers of cooperating processes with virtually no overhead.

High-performance XML parsing in Python with lxml

Oct 28, 2008 ... lxml is a fast yet flexible library for XML processing in Python. It comes bundled
with support for XML Path Language (XPath) and Extensible Stylesheet
Language Transformation (XSLT), and it implements the familiar ElementTree
API. In this article, you focus both on the ease of use provided by lxml and on ...

Is Python Slow As Molasses? (IT Best Kept Secret Is Optimization)

Jan 23, 2017 ... Python is great, but it has some limits. The most important one is that Python can
only execute one thread at a time, because of the global interpreter lock (GIL). It
means that in order to scale out Python code one needs to use multiprocessing
rather than multi threading. It means that one will need to ...

IBM ILOG:IBM ILOG Optimization:Mathematical Programming ...

However, when you do so, you need to be aware of the fact that the callbacks
may be invoked concurrently. With Python, we have the GIL, and your callbacks
will still run in serial. If you are not using callbacks, you may be able to use the
multiprocessing module to run multiple Cplex instances in parallel ...

Developer Central:Python Programmability in SPSS Statistics ...

import spss spss.SetOutput("off") spss.Submit("""oms select all/destination format
=spv outfile="c:/temp/myoutput.spv".""") # do stuff spss.Submit("omsend") If you
want to manage multiple sessions in the same job, you could use the Python
multiprocessing module to coordinate multiple SPSS sessions. HTH,

Developer Central:R Programmability in SPSS Statistics ...

NET or Python code. Each would have its own pair of processes. If you go the
Python route, though, you could use the Python multiprocessing module to
launch and monitor these sets of jobs from one parent job. You could probably do
something equivalent with .NET. But always there will have to be a 1-1 ...

Python testing frameworks: Make your life easy with a Python testing ...

May 5, 2009 ... The recent emergence of industrial-strength Python testing frameworks means
that Python tests are being written more succinctly, more uniformly, and with
better reporting of results than ever before. This article begins to explore this new
world by introducing the leading testing frameworks and looking at ...

Practical threaded programming with Python

Jun 3, 2008 ... Threaded programming in Python can be done with a minimal amount of
complexity by combining threads with Queues. This article explores using
threads and queues together to create simple yet effective patterns for solving
problems that require concurrency.

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