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I know a bunch of scripting languages, (python, ruby, lua, php) but I don't know any compiled languages like C/C++ , I wanted to try and speed up some python code using cython, which is essentially a python - C compiler, aimed at creating C extensions for python. Basically you code in a stricter version…
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My problem: I've found that processing large data sets with raw C++ using the STL map and vector can often be considerably faster (and with lower memory footprint) than using Cython.
I figure that part of this speed penalty is due to using Python lists and dicts, and that there might be some tricks…
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I just came across Cython, while I was looking out for ways to optimize Python code. I read various posts on stackoverflow, the python wiki and read the article "General Rules for Optimization".
Cython is something which grasps my interest the most; instead of writing C-code for yourself, you can…
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I'd like to make a Python package containing some Cython code. I've got the the Cython code working nicely. However, now I want to know how best to package it.
For most people who just want to install the package, I'd like to include the .c file that Cython creates, and arrange for setup.py to compile…
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I was trying to speed up some code, and then I tried compiling a class and a function using cython
and WOW! I havn't measured it yet but it looks at least 10x faster.
I first looked at cython just two days ago, I'm very impressed!
However, I can't get eval() to work.
def thefirst(int a):
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