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The C module created by Cython can speed up the execution of Python code, which is important for complex applications written in an inefficient interpreted language.

Cython is a compiler of the Python programming language designed to optimize performance and form an extended Cython programming language. As an extension of Python, Cython is also a superset of the Python language, which supports calling C functions and declaring C types on variables and class properties. This makes it easy to wrap external C libraries, embed C into existing applications, or write C language extension syntax as simple as Python for Python.

Cython is commonly used to create C modules to speed up the execution of Python code. This is very important in complex and inefficient applications written in interpreted languages.

Install Cython

You can install Cython on Linux, BSD, Windows, or macOS to use Python:

$python-m pip install Cython

Once installed, you can use it.

Convert Python to C

A good way to use Cython is to start with a simple "hello world". This is not the best way to demonstrate the benefits of Cython, but it shows what happens when using Cython.

First, create a simple Python script with the file name hello.pyx (the .pyx extension is not magical, technically it can be anything, but it is the default extension for Cython):

Print ("hello world")

Next, create a Python setup script. A setup.py,Cython like Python's makefile can use it to process your Python code:

From setuptools import setupfrom Cython.Build import cythonize setup (ext_modules = cythonize ("hello.pyx"))

Finally, use Cython to convert your Python script into C code:

$python setup.py build_ext-inplace

You can see the results in your project catalog. Cython's cythonize module converts hello.pyx into a hello.c file and a .so library. This C code has 2648 lines, so it has a lot more text than a single line of hello.pyx source code. The .so library is also 2000 times larger than its source code (that is, 54000 bytes compared to 20 bytes). Then, Python needs to run a single Python script, so there is a lot of code that supports this one-line hello.pyx file.

To use the C code version of Python's "hello world" script, open a Python prompt and import the new hello module you created:

> import hellohello world integrates C code into Python

A good general test of computing power is to calculate prime numbers. A prime number is a positive number greater than 1, and it produces a positive integer only after it is divided by 1 or itself. Although the theory is very simple, as the number increases, the demand for computing will increase. In pure Python, prime numbers can be calculated in less than 10 lines of code.

Import sys number = int (sys.argv [1]) if not number > > import primeTraceback (most recent call last): File "", line 1, in File "prime.py", line 2, in init prime number = sys.argv [1] IndexError: list index out of range

The problem is that the Python script wants to run from a terminal where the parameters (in this case, integers to be tested for prime numbers) are the same. You need to modify your script so that it can be used as a library.

Write a library

The library does not use system parameters, but accepts parameters from other code. For user input, instead of using sys.argv, package your code into a function that accepts a parameter called number (or num, or any variable name you like):

Def calculate (number): if not number > import prime > > prime.calculate (4) Not primeC Python

It is useful to use Cython to convert pure Python code to C code. This article describes how to do this, however, Cython also has features that can help you optimize your code before conversion, analyze your code to find out when Cython interacts with C #, and more. If you are using Python, but you want to improve your code with C code, or learn more about how libraries provide better extensibility than scripts, or if you are just curious about how Python and C work together, start using Cython.

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