¡@

Home 

python Programming Glossary: computation

Threading in Python

http://stackoverflow.com/questions/1190206/threading-in-python

disk and so on but not at all useful for doing concurrent computation. Use the multiprocessing module In the simple use case this..

pylab.ion() in python 2, matplotlib 1.1.1 and updating of the plot while the program runs

http://stackoverflow.com/questions/12822762/pylab-ion-in-python-2-matplotlib-1-1-1-and-updating-of-the-plot-while-the-pro

this works fine. As a simple example simulating a lengthy computation by time.sleep consider import pylab import time import random.. not bothering the user to continually hit enter for the computation to continue Thanks I'd appreciate any help... python matplotlib..

Python string 'join' is faster(?) than '+', but what's wrong here?

http://stackoverflow.com/questions/1349311/python-string-join-is-faster-than-but-whats-wrong-here

that HOISTING taking OUT of the inner loop a repetitive computation that would be otherwise performed over and over is a crucial..

Python most common element in a list

http://stackoverflow.com/questions/1518522/python-most-common-element-in-a-list

auxiliary function called once per grouping during the max computation receives and internally unpacks a group a tuple with two items..

When and how to use the builtin function property() in python

http://stackoverflow.com/questions/1554546/when-and-how-to-use-the-builtin-function-property-in-python

of x 's class rather than a logical one obtained and set computationally. In Python doing things directly when feasible instead of.. stored attributes directly and only ones which do need computation upon access and or setting via methods and properties . So if..

django,fastcgi: how to manage a long running process?

http://stackoverflow.com/questions/219329/django-fastcgi-how-to-manage-a-long-running-process

which needs to be modified to perform a lengthy computation up to half an hour or more . What I want to do is run the computation.. up to half an hour or more . What I want to do is run the computation in the background and return a your job has been started type..

Efficiently finding the shortest path in large graphs

http://stackoverflow.com/questions/3038661/efficiently-finding-the-shortest-path-in-large-graphs

66200 83824 0 That's a long time but it was also a heavy computation and I really wish I'd pickled the result . Here's the code for..

How can I read all availably data from subprocess.Popen.stdout (non blocking)?

http://stackoverflow.com/questions/3076542/how-can-i-read-all-availably-data-from-subprocess-popen-stdout-non-blocking

output 1 return output Then I start a lengthy computation via process.stdin.write command n . My problem is that I cannot.. command n . My problem is that I cannot check whether the computation has finished or not because I cannot check whether the last.. work either because the prompt will only occur after the computation. The ideal solution would allow me to read all available character..

Getting data from ctypes array into numpy

http://stackoverflow.com/questions/4355524/getting-data-from-ctypes-array-into-numpy

a Python via ctypes wrapped C library to run a series of computation. At different stages of the running I want to get data into..

Is there a way to detach matplotlib plots so that the computation can continue?

http://stackoverflow.com/questions/458209/is-there-a-way-to-detach-matplotlib-plots-so-that-the-computation-can-continue

there a way to detach matplotlib plots so that the computation can continue After these instructions in the Python interpreter.. import plot draw show plot 1 2 3 draw print 'continue computation' # at the end call show to ensure window won't close. show Using.. # result shows immediatelly implicit draw print 'continue computation' # at the end call show to ensure window won't close. show ..

How do I connect a Python and a C program?

http://stackoverflow.com/questions/4743748/how-do-i-connect-a-python-and-a-c-program

the data I get here to a C program that will handle the computation intensive side of things. I have been checking up the net and..

How do I pass large numpy arrays between python subprocesses without saving to disk?

http://stackoverflow.com/questions/5033799/how-do-i-pass-large-numpy-arrays-between-python-subprocesses-without-saving-to-d

proc.start for i in range 3 q.put 'data' # Wait for the computation to finish q.join print arr.shape print arr q.put 'done' proc.join..

How do Rpy2, pyrserve and PypeR compare?

http://stackoverflow.com/questions/5630441/how-do-rpy2-pyrserve-and-pyper-compare

R's Rserve advantages and inconveniences linked to remote computation and to RServe pyper native Python code will should may work..

Good Python modules for fuzzy string comparison?

http://stackoverflow.com/questions/682367/good-python-modules-for-fuzzy-string-comparison

Python C extension module contains functions for fast computation of Levenshtein edit distance and edit operations string similarity..

Robust Hand Detection via Computer Vision

http://stackoverflow.com/questions/8593091/robust-hand-detection-via-computer-vision

different lighting variations. A plus side is that its computation is fast. These steps and the corresponding code can be found.. a table lookup whereas GMM requires performing a matrix computation for vector with dimension 1 in the formula for multi dimension..