I currently have a Python 2.6 piece of code that runs two loops simultaneously. The code uses the gps (gpsd) module and the scapy module. Basically the first function (gpsInfo) contains a continual wh
I have a \'while\' loop in my Python app (v2.7) which basically communicates with a Bluetooth GPS device and the loop continues for as long as there is data being received. In essence, the while loop
I have two processes (see sample code) that each attempt to access a threading.local object. I would expect the below code to print \"a\" and \"b\" (in either order). Instead, I get \"a\" and \"a\". H
I\'m confused whether using multiple processes for a web application will improve the performance. Apache\'s mod_wsgi provides an option to set the number of processes to be started for the daemon pro
In the following example I\'m unable to write to the other tabs aside from the open-by-default Log tab:
I\'m looking to run a long-running python analysis process on a few Amazon EC2 instances. The code already runs using the python multiprocessing module and can take advantage of all cores on a single
I liked the ability to turn a function into a thread without the unnecessary line to define a class. I know about _thread, however it appears that you are not supposed to use _thread. Is there a good-
I am about to write some computationally-intensive Python code that\'ll almost certainly spend most of its time inside numpy\'s linear algebra functions.
I have been trying to write a simple python applicat开发者_如何学编程ion to implement a worker queue
I\'m using a thread to read Strings from a stream (/dev/tty1) while processing other things in the main loop. I would like the Thread to terminate together with the main program when pressing CTRL-C.
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