#cython

Python is a popular and versatile programming language, but it can be slow compared to other languages like C or C++. This is where Cython comes in. Cython is a tool that allows you to write Python-like code, but compiles it to C, resulting in faster performance.

Cython is particularly useful for scientific and numerical computing, where performance is critical. It can be used to optimize existing Python code, or write new code in Cython for improved performance. In this article, we’ll take a look at how to use Cython and why it’s valuable for Python programmers to learn.

Getting started with Cython is easy. You can install it using pip, the Python package manager, by running the following command in your terminal:

Once you have Cython installed, you can start using it to optimize your Python code. The basic idea is to write your code in Cython, then compile it to C, which can then be imported and used in your Python code.

Here’s a simple example that demonstrates how to use Cython. Let’s say we have a Python function that calculates the sum of squares of numbers in a list:

We can optimize this function by writing it in Cython, then compiling it to C. Here’s the Cython version:

In this example, we’ve added a cdef statement to declare the variables as C data types, which results in faster performance. We can then compile this Cython code to C using the following command in our terminal:

This will generate a .c file that can be imported and used in your Python code.

Cython is a powerful tool that allows you to write Python-like code and optimize it for performance. Whether you’re working on scientific and numerical computing or just looking to improve the performance of your code, Cython is worth learning.

Some great resources for learning Cython include the official documentation, tutorials and example code on the Cython website, and the “Cython: A Guide for Python Programmers” book by Kurt Smith.

Here is the Cython Wiki:

As well as the ReadTheDocs for Cython:

There is also a great tutorial series on using Cython by Pythonist on Youtube

Today, I’m very excited to demonstrate an effortless & new way to hack the performance of Python. This post will be a super short & yet crisp presentation of improving the overall performance. Why not view the demo before going through it? Demo Isn’t it exciting? Let’s understand the steps to improve your code. Python Packages: pip install cython Why this way? Cython is a Python-to-C…

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참고로, 보통 나는 이 질문에 ‘반만 맞다’고 말하거나 더 이상의 설명이 귀찮은 경우에는 ‘통상 인터프리터 언어라고 합니다.’라고 답한다.

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정확하게 말하자면 ‘컴파일 되는 언어’라고 해야 의미가 분명한데, 이 글에서는 줄여서 컴파일 언어라고 하겠다. 컴파일 언어는 “컴파일러에…

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To begin, I would first like to answer the obvious question: Why would anyone want to use lua when already using python? The answer is simple, legacy code. This experiment arose from the evaluation of possible candidates to replace an existing c/c++ system with limited throughput in terms of request per second with something like python or erlang. In this post, we will be focussing on python,…

Speed Up Your Python Code with Cython https://morioh.com/p/f328ce3f15ae

Speed Up Your Python Code with Cython https://morioh.com/p/f328ce3f15ae