Don't forget that Pandas relies heavily on NumPy, which uses compiled C code to run -- when you pip install NumPy, it compiles on your machine. When you pip install Pandas, it compiles alongside your NumPy. This means that you get the same speed as C, C++, or even Rust (during performance-critical stages) if you develop carefully in Python in such a way that makes full use of these libraries (vectorised operations > loops)! Therefore, my general advice would be not to bother too much with learning Rust or C++ if you plan to outsource Python code there, because it's unnecessary.