Using PyPy instead of Python for speed
•
1 like•674 views
September 6 2017 Niklas Bivald held a PyPy talk at PyCon Sweden. The name of the talk was "Using PyPy - a faster version of Python for long running applications - as a first step to speed up your application." It shows synthetic and real world usage of using PyPy to speed up your application.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Using PyPy instead of Python for speed
Similar to Using PyPy instead of Python for speed (20)
Recently uploaded
Recently uploaded (20)
Using PyPy instead of Python for speed
- 1. “If you want your code to run faster, you should probably just use PyPy.” — Guido van Rossum @nbivald niklas.bivald@enplore.com
- 2. Python implementation with a JIT compiler stable 2 compliant 1 fastPyPy is a and 3
- 3. Since 2003 PyPy has received funding from the Python Software Foundation, EU, Google and Mozilla
- 5. - Visualisation - (Lots of) Statistics - From classifications to regressions Data Parsers Analytics ... in it's rawest form ... bespoke, in Python
- 6. $ python Python 2.7.13 (default, Dec 18 2016, 07:03:39) >>> print ("Hello World") Hello World >>> >>> [x+1 for x in xrange(0,20, 2)] [1, 3, 5, 7, 9, 11, 13, 15, 17, 19] >>> $ python your-application.py I'm a python application $ pypy Python 2.7.13[PyPy 5.8.0 with GCC 4.2.1] on darwin >>>> print ("Hello World") Hello World >>>> >>> [x+1 for x in xrange(0,20, 2)] [1, 3, 5, 7, 9, 11, 13, 15, 17, 19] >>> $ pypy your-application.py I'm a python application Compliant 1
- 7. We've used PyPy in production since 2014, processing: ◦ Millions of flights ◦ Petabytes of data ◦ Thousands upon thousands of servers spun up ◦ 10 000 LOC + applications Stable 2
- 8. $ time python -c " > l = 0 > for i in xrange(0,10000): > for ii in xrange(0, 10000): > l = i+ii > print(l) > " 19998 real 0m8.101s user 0m7.999s time pypy -c " > l = 0 > for i in xrange(0,10000): > for ii in xrange(0, 10000): > l = i+ii > print(l) > " 19998 real 0m0.201s user 0m0.174s Fast 3 SYNTHETIC BENCHMARK
- 9. Each second of flight data is divided into 256 words á 12 bit. Each 12 bit section contains between 3 to 12 parameters. To extract, we iterate bit-by-bit on the continuous byte stream.
- 10. $ pypy run-file.py AircraftDfdrDataPoint: created a new dfdr datapoint Task parse.blackbox.data succeeded in 18.82s $ python run-file.py AircraftDfdrDataPoint: created a new dfdr datapoint Task parse.blackbox.data succeeded in 46.25s Fast 3 REAL WORLD BENCHMARK
- 11. good 4 the
- 12. the Python we know CPU Heavy tasks ... preferbly > 1s... and love
- 13. bad 5 ... the
- 14. No C No Numpy ... unless cffi ... coming soon No Py3 ... coming soon
- 16. Web API:s? ... such as Flask