Scientific computing and parallel computing C++23/C++26

[Ola Fosheim Grøstad]

On Wednesday, 19 January 2022 at 03:21:38 UTC, Tejas wrote:
> On Tuesday, 18 January 2022 at 22:21:40 UTC, Ola Fosheim 
> Grøstad wrote:
>
>> It is not uncommon to interact with plots that are too big for 
>> matplotlib to handle well. The python visualization solutions 
>> are very primitive. Having something better than 
>> numpy+matplotlib is obviously an advantage, a selling point 
>> for other offerings.
>>
>
> Wow, this is the first time I've read that matplotlib is 
> inadequate. Can you please give an example of a visualisation 
> library(any language) which you consider good?

There are commercial products for visualizing large datasets. I 
dont use them as I either create my own or use a soundeditor.

But yes matplotlib feels more like a homegrown solution than a 
solid product. It also has layout issues with labeling. You can 
make it work, but it is clunky.