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by MatthewWilkes
1868 days ago
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I'm confused by people that don't see the point in increasing the time efficiency of Python code, citing other languages being available. Python's strength has always been ease of development, with writing performant extensions being much more complex. Projects like numpy have brought much of that performance to easy reach of pure python programmers, but increasing the baseline performance is orthogonal to that. There's a huge amount of pure python code out there, powering websites, acting as the glue between C functions and providing business logic to pre-optimised frameworks. These are not likely to be targets for rewriting in another language, but that doesn't mean that their maintainers wouldn't like them to be faster and cost less to run. |
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