> So, the developer folks will make the switch first, as they realize it's much nicer to develop Julia packages in Julia than it is to develop Python packages in C.
Not so fast. You should also consider that writing the core in C/C++ allows some of those packages to offer bindings for several languages other than python (for example, both tensorflow and torch have bindings for Go, .NET, Rust, Haskell, R, Java, JavaScript).
This significantly expands the use-cases that these frameworks can cover without requiring a complete rewrite for every platform. For example, it is relatively easy to have data scientists train models with Python and deploy such models to mobile/edge devices and web apps.
Not so fast. You should also consider that writing the core in C/C++ allows some of those packages to offer bindings for several languages other than python (for example, both tensorflow and torch have bindings for Go, .NET, Rust, Haskell, R, Java, JavaScript).
This significantly expands the use-cases that these frameworks can cover without requiring a complete rewrite for every platform. For example, it is relatively easy to have data scientists train models with Python and deploy such models to mobile/edge devices and web apps.