
The long-held trade-off between developer productivity and raw computational performance in data science is beginning to dissolve, revealing a powerful hybrid model that combines the best of both worlds. For years, the data science community has relied on Python’s expressive syntax and rich ecosystem for rapid prototyping and analysis, accepting its performance limitations as a necessary compromise. However, as data










