🚀 Oh, look, another Python optimization saga where someone tries to make this snail of a language race like a cheetah... and fails spectacularly. 😂 Spoiler: After a million benchmarks and a truckload of "optimizations," Python is still Python—slow and steady, just not winning any races! 🐢💨
https://cemrehancavdar.com/2026/03/10/optimization-ladder/ #PythonOptimization #PythonPerformance #Benchmarking #SlowAndSteady #CodingHumor #TechNews #HackerNews #ngated
The Optimization Ladder

Python loses every public benchmark by 21-875x. I took the exact problems people use to dunk on Python and climbed every rung of the optimization ladder -- from CPython version upgrades to Rust. Real numbers, real code, real effort costs.

Python 3.15’s interpreter for Windows x86-64 should hopefully be 15% faster

Python 3.15’s interpreter for Windows x86-64 should hopefully be 15% faster

Ken Jin’s Blog
Python 3.14 Is Here. How Fast Is It?

In November of 2024 I wrote a blog post titled "Is Python Really That Slow?", in which I tested several versions of Python and noted the steady progress the language has been making in terms of…

Unleash extreme #Python performance! Get a 10x #PythonCExtensionSpeedup using C. Bypass the GIL for true multi-threading. Tutorial included! #PythonPerformance #CExtensions

https://teguhteja.id/python-c-extension-speedup-10x/?utm_source=mastodon&utm_medium=jetpack_social

Unleash Massive Python C Extension Speedup: A Step-by-Step Tutorial to Boost Performance by 10x - teguhteja.id

Is your Python code grinding to a halt when faced with computationally intensive tasks? Are you constantly battling performance bottlenecks, especially in multi-threaded applications? If so, you’re not alone. While Python is renowned for its ease of use and rapid development, its interpreted nature and the infamous Global Interpreter Lock (GIL) can often cap performance.… <a href="https://teguhteja.id/python-c-extension-speedup-10x/" rel="bookmark">Read More »<span class="screen-reader-text">Unleash Massive Python C Extension Speedup: A Step-by-Step Tutorial to Boost Performance by 10x</span></a>

teguhteja

#PythonPerformance is a set of benchmarking tests for various languages.

Python Performance compares the performance of several #mathematics programming languages. Common algorithms like matrix multiplication and hypoteneuse are tested in the benchmarks. #Python, #MATLAB, #Julia, and several other languages are included.

Website 🔗️: https://github.com/scivision/python-performance

#free #opensource #foss #fossmendations #programming #science

scivision/python-performance

Performance benchmarks of Python, Numpy, etc. vs. other languages such as Matlab, Julia, Fortran. - scivision/python-performance