set up environments, select editors, plugins, or
> debuggers..it´s all there!
> Have a great Sunday
> Juan P. Cruz
>
> --
> *From:* Jupiter Jones
> *Sent:* Sunday, January 15, 2023 3:20 AM
> *To:* Any question about pharo is welcome
> *Subject:* [
Thanks, Sebastian for pointing to these libraries. For sure I will take a look
at them!
Best,
Juan P. Cruz
From: Sebastian Jordan Montano
Sent: Sunday, January 15, 2023 9:13 AM
To: Any question about pharo is welcome
Subject: [Pharo-users] Re: New to Pharo: Some
, or debuggers..it´s all
there!
Have a great Sunday
Juan P. Cruz
From: Jupiter Jones
Sent: Sunday, January 15, 2023 3:20 AM
To: Any question about pharo is welcome
Subject: [Pharo-users] Re: New to Pharo: Some questions
This may seem a little over simplistic
Hola Juan,
Good to hear that you are interested in Pharo.
The equivalent of Matplotlib is Roassal. You can check this video that we did
(7min) of using Roassal for making visualizations for football data: [
https://www.youtube.com/watch?v=LOn9jVGa83c |
This may seem a little over simplistic, but the basics of what NumPy and Pandas
offer can be achieved with the standard Smalltalk collection hierarchy. If your
data fits in memory, then Pharo will handle the job. If not, then GemStone may
do the trick.
That said, there’s a bunch of quite
