Language speed becomes mostly irrelevant compared to the strategy, framework, toolset, and dataset design for parallelization. If you have a use case where a p

Language speed becomes mostly irrelevant compared to the strategy, framework, toolset, and dataset design for parallelization. If you have a use case where a program in C runs in a reasonable time on your laptop but one in Python doesn't, that solution is only going to take you so far before you'll want to graduate from your laptop and take advantage of the Python ecosystem again in real big data contexts.