Our biggest challenge as you say is definitely the fact that lots of users will be entrenched in Excel. Our goal right now is to appeal not to those who are happy in Excel today, but to those who have grown disillusioned: lots of users today build up amazingly complicated things in Excel and grow frustrated by the difficulty of maintaining that complexity. Python can be a much better fit in many cases for a lot of that complexity.
And as a platform for data science, we've found Neptyne really nice for sharing results. I was surprised at how often I heard from users: "well, we usually do everything in Jupyter, but then whenever management wants to see the output, they ask for it in a spreadsheet".
Our biggest challenge as you say is definitely the fact that lots of users will be entrenched in Excel. Our goal right now is to appeal not to those who are happy in Excel today, but to those who have grown disillusioned: lots of users today build up amazingly complicated things in Excel and grow frustrated by the difficulty of maintaining that complexity. Python can be a much better fit in many cases for a lot of that complexity.
And as a platform for data science, we've found Neptyne really nice for sharing results. I was surprised at how often I heard from users: "well, we usually do everything in Jupyter, but then whenever management wants to see the output, they ask for it in a spreadsheet".