During software development, we often face a choice between a language's convenience and its performance. Python has gained popularity due to its simplicity and elegance, but when it comes to low-level operations or tasks requiring high performance and speed, C comes to the rescue.
We will be focusing specifically on integrating extensions at build time, not just loading libraries via ctypes.
In this article, I want to discuss how to integrate C extensions using the Python.h library. I will also explain how to create your own Python library with C extensions. We will explore how Python works internally — for example, we'll recall that everything is an object. I will use Poetry as my environment manager.
Everything will be demonstrated using my small library for various algorithms and computations. At the end, I will conduct an analysis of pure Python algorithms, our library, and pure C algorithms: execution speed, distributability, pros and cons, and code volume.
Without further ado, let's begin!
We will be focusing specifically on integrating extensions at build time, not just loading libraries via ctypes.
In this article, I want to discuss how to integrate C extensions using the Python.h library. I will also explain how to create your own Python library with C extensions. We will explore how Python works internally — for example, we'll recall that everything is an object. I will use Poetry as my environment manager.
Everything will be demonstrated using my small library for various algorithms and computations. At the end, I will conduct an analysis of pure Python algorithms, our library, and pure C algorithms: execution speed, distributability, pros and cons, and code volume.
Without further ado, let's begin!