{"id":384,"date":"2021-08-07T00:00:00","date_gmt":"2021-08-07T00:00:00","guid":{"rendered":"https:\/\/tac.debuzzify.com\/?p=384"},"modified":"2023-06-23T00:51:10","modified_gmt":"2023-06-23T00:51:10","slug":"challenging-cython-the-python-module-for-high-performance-computing","status":"publish","type":"post","link":"https:\/\/www.the-analytics.club\/challenging-cython-the-python-module-for-high-performance-computing\/","title":{"rendered":"Challenging Cython \u2014 the Python Module for High-Performance Computing"},"content":{"rendered":"\n\n\n

In a recent post<\/a>, we discussed how to run Python about 91X faster than its usual speed. In this post, I aim to discuss an unanswered question from the previous one.<\/p>\n\n\n\n

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How do the solutions provided perform compared to Python\u2019s traditional performance fix technique \u2014 Cython?<\/i><\/p>\n<\/blockquote>\n\n\n\n

Although Python is a fantastic programming language, its performance was its major drawback. The elegant language with straightforward syntax was not made for faster computing.<\/p>\n\n\n\n

Cython has been bridging this gap for many years by converting Python code into compiled C programs. A range of Scientific computing packages relies on Cython to speed up computation.<\/p>\n\n\n\n

Let\u2019s compare its performance with its modern alternative.<\/p>\n\n\n\n

We\u2019ll start by counting prime numbers using plain Python<\/b>. Then, we\u2019ll compare it with its Cython<\/b> version. We\u2019ll repeat them using Python\u2019s multiprocessing<\/b> module to find out its benefits.<\/p>\n\n\n\n

Finally, we\u2019ll compare the performances with modern ways<\/b> to speed up Python programs.<\/p>\n\n\n\n

Cython .vs Python for simple calculations.<\/h2>\n\n\n\n

The most straightforward way to grasp the benefits of Cython is to use it in a rudimentary calculation. Here we use the same measure I used in the previous benchmark \u2014 Counting the number of prime numbers below a number.<\/p>\n\n\n\n

We use the cProfile module to measure the performance of every computation. cProfile is one of the many standard Python modules to measure code running times<\/a>.<\/a><\/p>\n\n\n\n

Computing using Python.<\/b><\/h3>\n\n\n\n

The following code will count the number of prime numbers below 35,000 and print a detailed performance report.<\/p>\n\n\n\n