Agreed, Chris. There are many ways to get something done. I often use the Anaconda distribution because it tends to bundle many of the modules I need and more.
Not that it is such a big deal to load the ones you need, but if you share your program, others trying to use it may have some problems. -----Original Message----- From: Chris Angelico <ros...@gmail.com> To: python-list@python.org <python-list@python.org> Sent: Fri, Feb 25, 2022 11:16 pm Subject: Re: C is it always faster than nump? On Sat, 26 Feb 2022 at 14:35, Avi Gross via Python-list <python-list@python.org> wrote: > But with numpy and more available anyway, it may not be necessary to reinvent > much of that. I was just wondering if it ever made sense to simply include it > in the base python, perhaps as a second executable with a name like pythonn > to signify that it is more numeric. So if you run that, you know you do not > need to add an assortment of modules. I keep seeing programs that just > automatically add numpy and pandas and various graphic modules and other > scientific and machine learning modules. Of course not everyone needs or even > wants this. Many simply use base Python techniques even if they are low for > larger amounts of data. > How would that be different from getting one of the numeric/scientific distributions of Python? Why should it be a different Python executable?!? ChrisA -- https://mail.python.org/mailman/listinfo/python-list -- https://mail.python.org/mailman/listinfo/python-list
