CODEWITHSUNDEEP
pythonc++carrays
Alexandre Dias
Alexandre Dias

Reputation: 534

C++ Vector in Python for Perfomance

I'm creating an image detection module, and I do a lot of math calculations around arrays.

I know that C/C++’s array iterates faster than Python’s

I can't move my project to C/C++, so I wanted to create an array module in C/C++ and call it in Python.

What I want to know:

1) Is this viable? Or calling a module from another interpreter will slow down my program more than it will speed it up?

2) Is there some Python package that does what I want?

I feel like I haven’t written enough info, but I can't think of anything else important.

[EDIT] So I just went with numpy and it has everything I need :p, thanks everyone

Upvotes: 0

Views: 119

Answers (4)

user8401743
user8401743

Reputation: 100

Try boost.python. If you can port all the computational heavy stuff to C++, it'll be quite fast but if you need to switch continuously between C++ and python, you won't get much improvement.

Upvotes: 0

Grant Williams
Grant Williams

Reputation: 1537

I think Cython might worth looking into. It can give some drastic speed improvements and is quite similar to what you are describing.

Upvotes: 2

Niraeth
Niraeth

Reputation: 313

It will most likely speed things up (especially if you do it for long). The only overhead will probably be at the interfacing. The c/c++ code will run however it is compiled to be ran. Though if you are just looking to wrap arrays only, you should probably take a look at other solutions first.

For interfacing python and c/c++ take a look at the post here .There's quite a few suggestions provided

Upvotes: 0

Yakk - Adam Nevraumont
Yakk - Adam Nevraumont

Reputation: 275770

Both the array and the low level operations on it would have to be in C++; switching on a per element basis will have little benefit.

There are many python modules that have internal C/C++ implementations. Simply wrapping a C or C++ style array would be pointless, as the built in python data types can basically be that.

Upvotes: 3

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