根据我的理解:

解释型语言是一种高级语言,由解释器(将高级语言转换为机器代码并执行的程序)运行并执行;它每次处理一点点程序。

编译语言是一种高级语言,其代码首先由编译器(将高级语言转换为机器代码的程序)转换为机器代码,然后由执行器(另一个运行代码的程序)执行。

如果我的定义错了,请指正。

现在回到Python,我对此有点困惑。你知道Python是一种解释性语言,但它被解释为一些中间代码(如字节码或IL),而不是机器代码。那么,哪个程序执行IM代码呢?请帮助我了解Python脚本是如何处理和运行的。


当前回答

First off, interpreted/compiled is not a property of the language but a property of the implementation. For most languages, most if not all implementations fall in one category, so one might save a few words saying the language is interpreted/compiled too, but it's still an important distinction, both because it aids understanding and because there are quite a few languages with usable implementations of both kinds (mostly in the realm of functional languages, see Haskell and ML). In addition, there are C interpreters and projects that attempt to compile a subset of Python to C or C++ code (and subsequently to machine code).

Second, compilation is not restricted to ahead-of-time compilation to native machine code. A compiler is, more generally, a program that converts a program in one programming language into a program in another programming language (arguably, you can even have a compiler with the same input and output language if significant transformations are applied). And JIT compilers compile to native machine code at runtime, which can give speed very close to or even better than ahead of time compilation (depending on the benchmark and the quality of the implementations compared).

But to stop nitpicking and answer the question you meant to ask: Practically (read: using a somewhat popular and mature implementation), Python is compiled. Not compiled to machine code ahead of time (i.e. "compiled" by the restricted and wrong, but alas common definition), "only" compiled to bytecode, but it's still compilation with at least some of the benefits. For example, the statement a = b.c() is compiled to a byte stream which, when "disassembled", looks somewhat like load 0 (b); load_str 'c'; get_attr; call_function 0; store 1 (a). This is a simplification, it's actually less readable and a bit more low-level - you can experiment with the standard library dis module and see what the real deal looks like. Interpreting this is faster than interpreting from a higher-level representation.

字节码要么被解释(请注意,在理论和实际性能上,直接解释和首先编译为一些中间表示并解释它之间存在差异),就像参考实现(CPython)一样,要么在运行时被解释并编译为优化的机器代码,就像PyPy一样。

其他回答

如果(你懂Java) { Python代码像java一样被转换成字节码。 每次您尝试访问该字节码时,都会再次执行它。 }其他{ Python代码最初被翻译成一种叫做字节码的东西 接近机器语言,但不是真正的机器代码 因此,每次我们访问或运行它时,字节码都会再次执行 }

As sone one already said, "interpreted/compiled is not a property of the language but a property of the implementation." Python can be used in interpretation mode as well as compilation mode. When you run python code directly from terminal or cmd then the python interpreter starts. Now if you write any command then this command will be directly interpreted. If you use a file containing Python code and running it in IDE or using a command prompt it will be compiled first the whole code will be converted to byte code and then it will run. So it depends on how we use it.

Python(解释器)被编译。

证明:它甚至不会编译你的代码,如果它包含语法错误。

示例1:

print("This should print") 
a = 9/0 

输出:

This should print
Traceback (most recent call last):
  File "p.py", line 2, in <module>
    a = 9/0
ZeroDivisionError: integer division or modulo by zero

代码编译成功。第一行执行(打印),第二行抛出ZeroDivisionError(运行时错误)。

示例2:

print("This should not print")
/0         

输出:

  File "p.py", line 2
    /0
    ^
SyntaxError: invalid syntax

结论:如果代码文件包含SyntaxError,编译失败时什么都不会执行。

这似乎是语义上的问题。我想大多数人都会推断编译的结果通常是机器代码。考虑到这一点,我对自己说,python是没有编译的。不过我可能错了,因为compile实际上意味着转换到较低级别,所以从源代码转换到字节码也是编译。

答案取决于使用的是哪种python实现。如果你正在使用CPython (python的标准实现)或Jython(用于与java编程语言集成),它首先被翻译成字节码,并根据你正在使用的python实现,这个字节码被定向到相应的虚拟机进行解释。PVM (Python虚拟机)用于CPython, JVM (Java虚拟机)用于Jython。

但假设你使用的是PyPy,这是另一个标准的CPython实现。它将使用即时编译器。