I had a strange problem. I have a file of the format: START 1 2 STOP lllllllll START 3 5 6 STOP and I want to read the lines between START and STOP as blocks, and use my_f to process each block.
I would like to run several receivers that will receive data in different ports, but are basically the same.
I want to dynamically create multiple Processes, where each instance has a queue for incoming messages from other instances, and each instance can also create new instances. So we end up with a networ
I am having trouble when using the Pool.map_async() (and also Pool.map()) in the multiprocessing module. I have implemented a parallel-for-loop function that works fine as long as the function input t
Is it more effici开发者_StackOverflow中文版ent for a key-value data store such as Redis to handle X number of requests over 1 client connection or 1 request per client over X number of client connecti
I have a python script that performs URL requests using the urllib2. I have a pool of 5 processes that run asynchronously and perform a function. This function is the one that makes the url calls, get
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
Would it be possible to create a python Pool that is non-daemonic? I want a pool to be able to call a function that has another pool inside.
Most examples of the Multiprocess Worker Pools execute a single function in different processes, f.e.
I noticed that sqlite3 isn´t really capable nor reliable when i use it inside a multiprocessing enviroment. Each process tries to write some data into the same database, so that a connection is used
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