?? Programming Language Performance Showdown: 1 Billion Nested Loops Test ???
Have you ever wondered how different programming languages stack up when faced with intense computational tasks? Here's an eye-opening comparison of 1 billion nested loop iterations across some of the most popular programming languages and runtimes.
?? Key Takeaways:
?? C/Clang (optimized with -03) and Rust lead the pack with a blazing execution time of just 0.50 seconds!
This visual demo highlights the raw computational power of languages and compilers under similar conditions. Of course, real-world application performance depends on many factors, such as the type of workload, ecosystem libraries, and developer experience.
This comparison is part of a practical demonstration created by Benjamin Dicken, Developer Educator at PlanetScale, and the creator of PyFlo. Benjamin is a former CS Faculty at Arizona and Software Engineer at Dataware. His work highlights the raw computational power of languages and compilers under similar conditions. For a dynamic visualization of this comparison and all the code used, check out the resources below:
What's your go-to programming language, and why? Let me know in the comments! I'd love to hear about your experiences with balancing performance and development efficiency.
Fullstack Software Engineer | Java | Javascript | Go | GoLang | Angular | Reactjs | AWS
3 个月Thanks for sharing
Aluno do curso Técnico em Desenvolvimento de Sistemas na ETEC de Hortolandia
3 个月This is awesome, Rene Juliano Martins! ?? It's incredible to see how optimized languages like C and Rust dominate in performance tests. As someone diving deeper into React and exploring different runtimes, this gives me a lot to think about. Thanks for sharing such detailed insights, truly inspiring!
Revisora de textos acadêmicos | Naturóloga | M.Sc./UFSC | PhD/UNICAMP
3 个月Wow, this is such an insightful post, Rene Juliano Martins! ?? It's fascinating to see how programming languages perform under heavy computational tasks. I really admire the clarity of this comparison, it shows how much thought went into breaking down something so complex.