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I’ll second klelatti’s question about R vs Python. From my perspective Python is just as practical for actuarial calcs and better for building general purpose tools. Is there a reason Anaconda didn’t click?



GPU integration was broken for a long time. Managing VMs / Environments. The absolutely horrible integration with git/Github.

Having to rebuild your environment from scratch when your workspace crashed. Imagine starting a notebook with a 45 minutes compile time. No go.

One click deploy, let's just forget about it.


Thanks! That totally makes sense. If I had to pick a pain point for getting people started with Python tools it would be environments. Comments here make me think my team is working with a lot less data too.




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