I love how you really expanded on the idea of executing code at compile time. You should be proud.
You probably already know this but for people like me to switch "all" it would take would be:
1. A plotting library like ggplot2 or plotnine
2. A machine learning library, like scikit
3. A dashboard framework like streamlit or shiny
4. Support for Empirical in my cloud workspace environment, which is Jupyter based, and where I have to execute all the code, because that's where the data is and has to stay due to security
Just like how Polars is written in Rust and has Python bindings, I wonder if there's a market for 1 and 2 written in Rust and then having bindings to Python, Empirical, R, Julia etc. I feel like 4 is just a matter of time if Empirical becomes popular, but I think 3 would have to be implemented specifically for Empirical.
I think the idea of statically typed dataframes is really useful and you were ahead of your time. Maybe one day the time will be right.
Comments
Wow this is amazing!! Thanks for sharing!
I love how you really expanded on the idea of executing code at compile time. You should be proud.
You probably already know this but for people like me to switch "all" it would take would be:
1. A plotting library like ggplot2 or plotnine
2. A machine learning library, like scikit
3. A dashboard framework like streamlit or shiny
4. Support for Empirical in my cloud workspace environment, which is Jupyter based, and where I have to execute all the code, because that's where the data is and has to stay due to security
Just like how Polars is written in Rust and has Python bindings, I wonder if there's a market for 1 and 2 written in Rust and then having bindings to Python, Empirical, R, Julia etc. I feel like 4 is just a matter of time if Empirical becomes popular, but I think 3 would have to be implemented specifically for Empirical.
I think the idea of statically typed dataframes is really useful and you were ahead of your time. Maybe one day the time will be right.