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I was wondering if there is a way to incorporate pp (Parallel Python) with django. This would be great because I have multiple computers and I want to use them to better handle the requests.
paralel python is for litle bit different tasks, and for this purposes it is better to use nginx as loadbalancer.
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Let's say I have a dataset which contains lots of inputfilename and outputfilename. How should I go ahead if I want to make a machine learning model for this, so that I later on can inject a inputfilename and get a suggestion for outputfilename?
What libraries should I use? Any examples available?
Thanks!
I've tried googling but find no good comparable examples.
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I want to communicate with each other the modes I wrote in the python programming language with MQL4, which is the fastest way to do this? Can there be another solution in this regard that zeromq seems difficult to install and use?
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Is there any way to minimize all non active windows using python, leaving the active windows.
There are several ways to do this based on your exact purpose. (Please clarify what exactly you want to do)
However in general these modules are useful for such tasks:
PyAutoGUI; https://pypi.org/project/PyAutoGUI/
Win32gui; https://pypi.org/project/win32gui/
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I've Googled around a bit, but can't find much. This seems rather out of date, and doesn't provide any examples. Is this possible? Should I just shut up and learn C already?
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I am finding a lack of information regarding handling multiple datacenters. What tools and techniques are available for taking advantage of multiple datacenters? A requirement is that the databases become consistent very quickly.
http://dev.mysql.com/doc/refman/5.0/en/mysql-cluster.html