All tutorial code is available under the extras/usd/tutorials directory from the root, unless noted otherwise. Upon my friend's request, I wrote a small Python C/API tutorial. The tutorial in docs.python.org is fairly comprehensive and I certainly don’t intend to cover everything in the tutorial. Free Bonus: Click here to download a copy of the "REST API Examples" Guide and get a hands-on introduction to Python + REST API principles with actionable examples. In this section we collect tutorials related to API design or interacting with APIs using Python. Reading the implementation file and consulting the python API docs and tutorials may be the only way to get how to use gemm with C++. If there are C++ tutorials, reading the source files could be much easier with the background knowledge from the tutorials. Converting From Python 2.x to 3.x ----- Python starting with 2.6 contains features to help locating code that needs to be changed, such as optional warnings when deprecated features are used, and backported versions of certain key Python 3.x features. I don't really recommend you use Python C/API directly, without the help of tools like boost::python, swig, pyrex, ... unless your code is really performance sensitive, or very small, but still it'll be good to know what it is like for a better understanding of Python/C interaction. In the C API tutorial, an example is shown where a new Type (called a "Noddy") is created, and the Type's __new__ function is defined. The first reason is to write extension There are two fundamentally different reasons for using the Python/C API. Our API allows us to get the list of all items, get one item by id, add a new item to the list, update item by id, and delete an item with the given id. These tutorials presume that the user has downloaded the repository. The Python C API tutorial explains it like this: The new member is responsible for creating (as opposed to initializing) objects of the type. The API is equally usable from C++, but for brevity it is generally referred to as the Python/C API. This is the first in a series of posts aiming to help people build REST APIs in Python. To write and run the code, I used the Visual Studio Code. There are two fundamentally different reasons for using the Python/C API. The Application Programmer’s Interface to Python gives C and C++ programmers access to the Python interpreter at a variety of levels. In this part, I have covered Python embedding from the basics such as calling functions, classes and methods, to not so basic topics like multi-threaded embedding. For example, I cannot find the linalg functions such as gemm from the C++ API doc. For testing the endpoints, I used Postman. REST APIs in web applications would be one example where Python shines. One of the ways to call C API from Python is to use ctypes module. Using the Python/C API A minimal example . The API is equally usable from C++, but for brevity it is generally referred to as the Python/C API. Note that each tutorial, at the top of the page, has a VERSION tag indicating what version it has been tested with. The Application Programmer’s Interface to Python gives C and C++ programmers access to the Python interpreter at a variety of levels. We have developed a collection of tools that let you get started quickly yet … The first reason is to write extension Python/C API provides a consistent calling interface to ease the task of integration between C/C++ and Python modules. To illustrate the mechanics, we will create a minimal extension module containing a single function that outputs "Hello" followed by the name passed in as the first parameter. 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