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Using a JIT will speed up execution by compiling to machine code, thus eliminating the overhead of fetching, decoding, and dispatching Python opcodes.
JIT通过将代码编译成机器码,这样可以减少翻译Python指令的时间,以此提高代码的执行速度。 “在CPython里,” Winter 解释道,“这一部分的开销很大;在这方面只做了较小的调整就使CPython 2.7有了近15%速度提升。”
The idea was borrowed from an earlier Gatling machine, a seed hopper designed to speed up planting.
这种构思是借用了一架早期的加特林机器——为加快耕种速度而设计出的一种播种机。
The free version of the software simply observes what's happening on the machine and recommends fixes to speed up the process.
该产品的免费版软件仅仅检测电脑存在的问题并做出使系统提速的建议。
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