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Python Performance Profiling: The Guts And The Glory
--client
big_apple_py
--show
pygotham_2016
--room Room_CR4 11118 --force
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Marks
Author(s):
A. Jesse Jiryu Davis
Location
Room CR4
Date
jul Sat 16
Days Raw Files
Start
13:45
First Raw Start
13:42
Duration
00:25:00
Offset
0:02:30
End
14:10
Last Raw End
14:12
Chapters
00:00
Total cuts_time
20 min.
https://2016.pygotham.org/talks/293/python-performance-profiling-the-guts-and-the-glory
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Your Python program is too slow, and you need to optimize it. Where do you start? Optimization is a scientific investigation, just like debugging is: you generate hypotheses about how to make your program faster, then use benchmarks as the experiments that test your hypotheses. With the right tools, you can optimize your code where it counts. With the Python profiler “Yappi” to understand its features and limitations we’ll learn how to find the maximum performance wins with minimum effort.
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2016-07-16/13_42_30.ts
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13:42:30
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2016-07-16/13_42_30.ts
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