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High-Performance Python with Cython on Linux Servers


Cython is a powerful tool for Python developers looking to optimize performance. It’s particularly effective in scenarios requiring high-speed computations and is well-suited for the robust infrastructure provided by ServerStadium (VM Pricing, Dedicated Servers).


  • A ServerStadium VM or dedicated server (VM Pricing, Dedicated Servers).
  • Basic knowledge of Python and C programming.
  • Access to the server with necessary permissions.

Step 1: Set Up Your ServerStadium Environment

  1. Choose a Server: Select a powerful ServerStadium server for optimal performance.
  2. Server Setup:

    sudo apt update
    sudo apt upgrade

Step 2: Install Python and Cython

  1. Install Python:

    sudo apt install python3 python3-pip

  2. Install Cython:

    pip3 install Cython

Step 3: Write Your Python Code

  1. Develop Python Code:

    Write your Python code that you intend to optimize. Here’s an example Python script (example.pyx):

    def compute(int n): cdef int i, j = 0 for i in range(n): j += i return j

    Note: Use Cython-specific syntax (e.g., cdef) for type declarations.

Step 4: Create a Cython Setup File

  1. Setup File:

    Create a file to compile the Cython code:

    from setuptools import setup from Cython.Build import cythonize

    setup( ext_modules = cythonize("example.pyx") )

Step 5: Compile the Cython Code

  1. Compile the Code:

    Compile your Cython file (example.pyx) to C code:

    python3 build_ext –inplace

    This will generate a .c file and a compiled .so file.

Step 6: Test the Optimized Code

  1. Run the Optimized Code:

    Test the performance of the compiled code in comparison to the pure Python version.


By using Cython on your ServerStadium server, you can significantly enhance the performance of Python applications, especially for computationally intensive tasks. This approach is invaluable for data science, machine learning, and other high-performance computing applications. For additional resources, visit our knowledge base or contact our support team.

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