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As much as I love Python I still tell people don't use it for performance sensitive applications.
by mesozoic 7y ago
As much as I love Python I still tell people don't use it for performance sensitive applications.
- pdonis 7y agoIt depends on what kind of performance you need. For CPU intensive tasks I would agree with you. But for network I/O intensive tasks, even though Python is slow it's still more than fast enough to keep up with a large request volume since network I/O latency is so much longer than CPU/memory latency.
- dmurray 7y agoAnd for data science /ML things it works great these days, even though those applications are 100% performance-bound.