Commit 8524b096 authored by gabrieldemarmiesse's avatar gabrieldemarmiesse

Moved two code snippets from profiling_tutorial to the examples directory.

parent ff577a2b
# calc_pi.py
def recip_square(i):
return 1. / i ** 2
def approx_pi(n=10000000):
val = 0.
for k in range(1, n + 1):
val += recip_square(k)
return (6 * val) ** .5
# profile.py
import pstats, cProfile
import calc_pi
cProfile.runctx("calc_pi.approx_pi()", globals(), locals(), "Profile.prof")
s = pstats.Stats("Profile.prof")
s.strip_dirs().sort_stats("time").print_stats()
......@@ -125,20 +125,9 @@ relation we want to use has been proven by Euler in 1735 and is known as the
\frac{1}{2^2} + \dots + \frac{1}{k^2} \big) \approx
6 \big( \frac{1}{1^2} + \frac{1}{2^2} + \dots + \frac{1}{n^2} \big)
A simple Python code for evaluating the truncated sum looks like this::
A simple Python code for evaluating the truncated sum looks like this:
#!/usr/bin/env python
# encoding: utf-8
# filename: calc_pi.py
def recip_square(i):
return 1./i**2
def approx_pi(n=10000000):
val = 0.
for k in range(1,n+1):
val += recip_square(k)
return (6 * val)**.5
.. literalinclude:: ../../examples/tutorial/profiling_tutorial/calc_pi.py
On my box, this needs approximately 4 seconds to run the function with the
default n. The higher we choose n, the better will be the approximation for
......@@ -147,20 +136,9 @@ places to optimize this code. But remember the golden rule of optimization:
Never optimize without having profiled. Let me repeat this: **Never** optimize
without having profiled your code. Your thoughts about which part of your
code takes too much time are wrong. At least, mine are always wrong. So let's
write a short script to profile our code::
write a short script to profile our code:
#!/usr/bin/env python
# encoding: utf-8
# filename: profile.py
import pstats, cProfile
import calc_pi
cProfile.runctx("calc_pi.approx_pi()", globals(), locals(), "Profile.prof")
s = pstats.Stats("Profile.prof")
s.strip_dirs().sort_stats("time").print_stats()
.. literalinclude:: ../../examples/tutorial/profiling_tutorial/profile.py
Running this on my box gives the following output:
......
Markdown is supported
0%
or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment