Thank you for all the answers. I already have the Nim in Action book, and ordered Araq’s book. I take a deeper look, how the dynamic linking is made (this is the better approach for this purpose, right?) and make some experiments. I guess the most important missing peace is sklearn, which is a huge library, but for example we work mostly with time series, where it would be great to have at least the most important standard libraries (statsmodels, sktime, darts etc.).
- Writing a wrapper for ML libraries how-to StrDev
- Writing a wrapper for ML libraries how-to Araq
- Writing a wrapper for ML libraries how-to mratsim
- Writing a wrapper for ML libraries how-to pietroppeter
- Writing a wrapper for ML libraries how-to StrDev
- Writing a wrapper for ML libraries h... mratsim
- Writing a wrapper for ML librari... alexeypetrushin
- Writing a wrapper for ML lib... junelac
- Writing a wrapper for ML lib... junelac
- Writing a wrapper for ML lib... demotomohiro
- Writing a wrapper for ML lib... junelac
- Writing a wrapper for ML lib... ITwrx
