The thing we need to time is - how long did it take the author to write the code vs writing in C. Number of lines of code is a proxy, but not always accurate.

The thing we need to time is - how long did it take the author to write the code vs writing in C. Number of lines of code is a proxy, but not always accurate. The emphasis on expressing ideas clearly, sometimes at the cost of performance has been a good bet for python in terms of data science fueled market share. But it does open the door to some competition. I'm also curious how this performs versus similar code in Julia https://github.com/markmo/HiRedis.jl https://github.com/markmo/HiRedis.jl This could help understand the sweet spot between runtime performance, time to code and understandability and type safety.