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。”

Using a JIT will speed up execution by compiling to machine code, thus eliminating the overhead of fetching, decoding, and dispatching Python opcodes.

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在解释代码路径一定次数之后，会把它重新编译成机器码。

After interpreting a code path a certain number of times, it is compiled into machine code.

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像Rubinius这样的Ruby1.9虚拟机可以将Ruby源代码编译为操作码，然后由解释器执行。

Ruby 1.9, like Rubinius, compiles Ruby source code to opcodes which are then executed by it's opcode interpreter.

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