![]() This assumes the test executable is located in the same directory where you are running Python. To run an executable called test with additional arguments a.in and 0.001, and collect its output to the terminal for example, you can use: Running commands from Python can be done in many ways, e.g. If you have a C++ executable that can be easily controlled through command line arguments or an input parameter file, and this executable generates the output you want for those parameters without much overhead, then arguably the easiest solution to achieve this is to simply run the executable from Python. The easy way: running software from Pythonīefore we embark on the difficult journey to actually couple C++ to Python, it is worth pointing out that there are lazy solutions. ![]() In this post, I will list a few ways to achieve this. For this reason, it can be quite useful to write the crucial parts of an algorithm in a low-level language like C++, and then somehow expose this code to Python. Writing efficient Python is however not as easy, especially if the algorithm you want to write is complex and cannot exploit the power of NumPy or SciPy. Python is a very popular tool among many scientists, mainly because it is very easy to use and because there exists a large number of powerful libraries that can be used from Python.
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