C is it always faster than nump?

[Avi Gross]

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 <rosuav at gmail.com>
To: python-list at python.org <python-list at 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 at 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

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