5 ms·

>But when I see benchmarks that suggest Python is 10 to 100X slower for critical server code, I have to wonder why anyone would use it for enterprise developmen

• aetherson 12y ago
  It really just depends on the project. Sometimes, all you want to do is, like, take data, type-check it, maybe do a couple of simple transforms, and then store it. But you want to do it 50,000 times per second. In that case, it may very well be the case that ops costs absolutely dwarf dev costs. Similarly, it may be that what you want is to take data and run it through super-complicated algorithms depending on a lot of business data, and massage it all over the place... but you only need to do this 10 times per second. In which case your dev costs may absolutely dwarf your ops costs.
• iak8god 12y ago
  >> Dev costs are relatively small compared to operating costs. > > Uhh, not in my experience. It's probably not possible to make a true statement out of context about which costs less. This depends quite heavily on what you're doing.