rahulrrixe

It can be put simply like where the struggle for rich kids start; that is the zenith of success for poor kids.

But you loose so much flexibility. When you start working on a problem, you want your language should give you as little headache as it can with minimum rules and constraints. Then on iteration you can improve like having type annotation, unit tests etc.

You can write perfectly fine production level code in Python. It like lego block. Start with simple and then add on.

Adding compile type checks comes with its own demerits. I guess here Swift is trying to offer more tool chain on compiler level for model building rather than just being type safe.

Swift large projects takes huge time to compile whether as interpreter wins here. Though there are model building layer on compiler level which Swift offers in Tensorflow which is unique but apart from that I don’t think it is going to hit nail on Python community.

Is the course content available online? Do you have any community around it?

The paper summarises well about current tech stack and bringing it to the University.

I built a code generator package in Kotlin which generates codes for Kotlin, Swift, Web (JS), and React-Native (TypeScript). Basically, you provide your class definition in a DSL style (Similar to TOML) and it will generate the implementation and interfaces of the bridge for different technologies.