Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

The Python Performance Tuner

Project description

PPT - The Python Performance Tuner

ppt is a tool for tuning the performance of Python programs.

Install

pip install ppt

Example

Timing

import ppt
import time

if __name__ == '__main__':

    for _ in range(10):

        ppt.time('big')
        time.sleep(0.5)  # Big computation

        ppt.time('medium')
        time.sleep(0.3)  # Medium computation

        ppt.time('fast')
        time.sleep(0.01)  # Fast computation

    # Stop current timing
    ppt.stop()

    # Print current timings
    ppt.summary()

    # Detailed statistics from pstats
    ppt.stats()

Output

big: 40 function calls in 5.006 seconds
medium: 40 function calls in 3.003 seconds
fast: 40 function calls in 0.101 seconds
********** big **********
         40 function calls in 5.006 seconds

   Ordered by: cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
       10    5.005    0.501    5.005    0.501 {built-in method time.sleep}
       10    0.000    0.000    0.000    0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:42(time)
       10    0.000    0.000    0.000    0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:17(stop)
       10    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}


********** medium **********
         40 function calls in 3.003 seconds

   Ordered by: cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
       10    3.003    0.300    3.003    0.300 {built-in method time.sleep}
       10    0.000    0.000    0.000    0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:42(time)
       10    0.000    0.000    0.000    0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:17(stop)
       10    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}


********** fast **********
         40 function calls in 0.101 seconds

   Ordered by: cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
       10    0.101    0.010    0.101    0.010 {built-in method time.sleep}
        9    0.000    0.000    0.000    0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:42(time)
       10    0.000    0.000    0.000    0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:17(stop)
        1    0.000    0.000    0.000    0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:53(stop)
       10    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}

Plotting

The following start a Visdom server and plots 4 lines of random samples.

import ppt
import random, time

if __name__ == '__main__':
    ppt.plot(1)
    ppt.plot(1)
    ppt.plot(1)
    ppt.plot(1)
    for i in range(10):
        for session in ['a', 'b', 'c', 'd']:
            time.sleep(0.2)
            ppt.plot(random.random(), session)
    ppt.close()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for ppt, version 0.0.6
Filename, size File type Python version Upload date Hashes
Filename, size ppt-0.0.6.tar.gz (3.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page