On 15/02/2021 02:26, Avi Gross via Python-list wrote: > I think we have discussed this a few times.
Indeed, many times! And there is a natural tendency for a group focused on a programming language to fixate on language improvements. But it's worth while to back up and look at real world scenarios too where choice of programming language is such a minor influence on performance that it is rarely even considered significant. Much more important are things like network speeds, database speeds, disk access speeds and overall architecture and design. These are the areas that give orders of magnitude performance improvement. Next comes algorithm design, caching models and the like. These give multiple factors of improvement. Finally, we come to language tweaks and choice of language where a doubling of performance might be attainable. (Language X being "10 times faster" than language Y rarely translates to a non-trivial application being 10 times faster!) Of course, it depends on the type of project and if its a high computational scenario things will likely be different. But for the big projects that run our lives - air traffic control, taxation, payroll, billing, banking and so on, choice of language comes way down the pecking order. What's that quote about premature optimization?... -- Alan G Author of the Learn to Program web site http://www.alan-g.me.uk/ http://www.amazon.com/author/alan_gauld Follow my photo-blog on Flickr at: http://www.flickr.com/photos/alangauldphotos -- https://mail.python.org/mailman/listinfo/python-list
