I have deliberately paid attention to writing generic, portable C code for Python embedding. One conventional technique is multi-threading. Can be thought of as a Help for our function, in Python environment. Meanwhile, it interacts with the rest at run-time. Then, you can spawn a process to run the executable from within the C/C++ application. Fortunately, Python has done most of this for us, which brings up the second solution to our question under discussion, namely, letting Python handle the multi-threading. See article: "Embedding Python in C/C++: Part II". In one approach you create a separate thread in C and call the Python module from the thread function. Where is some sample project. General embedding concepts . Python makes me lazy. I use C++ code in my project. I've been learning the ins and outs of both Cython and the C API for Python and ran into a peculiar problem. Great introduction to embedding. This way, high-level application developers don't have to deal with the embedding details. The output from the execution is: The C code itself is self-explanatory, except that: Now, we want to pass arguments to the Python function. This code is: This code in Python will print the line "Hello World from Embedded Python!!!" You can run "call_function py_thread createThread" to see how the output looks like. The Python function createThread() is not required if our C code calls the thread class' start() and joint() methods. it's completely useless. Consider the following Python program, stored in pyemb3.py: Now we want to call the function getInteger() from the following C++ code and print the value returned this function. For instance, the Python module to be embedded is part of a real-time simulation and you run it in parallel with the rest of your simulation. The third argument is the name of the Python function you are going to call within the module. Word Embedding is a language modeling technique used for mapping words to vectors of real numbers. PyEval_InitThreads() initializes Python's thread support. Viewed 21 times 0. Here is the source file "call_function.c": The Python source file "py_function.py" is as follows: Note that checks for the validity of objects are omitted for brevity. It is also easy to use a Python class in your C code. I also have installed pyXml in my system. Converting code into executables usually makes things even more complicated, as you must figure out how your C/C++ application communicates with the executable "black-box". As you can see that, we have an embedded Python code in our program. Now that we have a working multi threaded program we need to embed python inside the program. Once the class goes out of scope, the object is automatically dereferenced. In this Article, we will discuss the following topics: Before we continue, the reader must be well versed in C/C++ programming. Obviously, the implementation is getting complicated because writing multi-threading code in C/C++ is not trivial. It may not be always straightforward to write portable C code yourself. First, let us start from a sample C program that calls a function within a Python module. How to Embed Python interpreter in your C/C++ code and dynamically change the code path of compiled native code. GitHub Gist: instantly share code, notes, and snippets. Python is a powerful interpreted language, like Java, Perl and PHP. The discussion of multi-threaded embedding has raised a question for us: how does your C/C++ application communicate with the embedded Python module? When I move the code to Linux, it won;t import my module (python 3.6.9), but it works if I use a generis module (I tested it with numpy and the test function). And have basics programming knowledge in Python. This is known as “extending Python with C++”. 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