几乎，我们可以说Python是一种解释型语言。但是我们在python中使用了一次性编译过程的一部分，将完整的源代码转换为类似java语言的字节码。

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。

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。

是的，它既是编译语言也是解释语言。那为什么我们一般称它为解释语言呢?

看到它是如何编译和解释的了吗?

首先我想说的是，如果你来自Java世界，你会更喜欢我的回答。

在Java中，源代码首先通过javac编译器转换为字节码，然后定向到JVM(负责生成用于执行的本机代码)。现在我想向你展示，我们将Java称为编译语言，因为我们可以看到它确实编译源代码，并通过以下方式提供.class文件(除了字节码之外什么都没有):

javac Hello.java ------->生成Hello.class文件

java Hello -------->将字节码定向到JVM执行

同样的事情也发生在python中，即首先通过编译器将源代码转换为字节码，然后定向到PVM(负责生成用于执行的本机代码)。现在我想向你们展示，我们通常称Python为解释语言，因为编译是在幕后进行的 当我们运行python代码时:

python Hello.py ------->直接执行代码，如果代码语法正确，我们可以看到输出

@ python Hello.py看起来像是直接执行，但实际上它首先生成由解释器解释的字节码，以产生用于执行目的的本机代码。

CPython-承担编译和解释的责任。

如果你需要更多的细节，看看下面的几行:

正如我提到的，CPython编译源代码，但实际的编译是在cython的帮助下进行的，然后在CPython的帮助下进行解释

现在让我们稍微讨论一下即时编译器在Java和Python中的作用

在JVM中存在Java解释器，它逐行解释字节码以获得用于执行的本机机器码，但当Java字节码由解释器执行时，执行将总是较慢。那么解决方案是什么呢?解决方案是即时编译器，它产生的本机代码可以执行得比解释快得多。一些JVM供应商使用Java解释器，一些使用即时编译器。参考资料:按此处

在python中，要绕过解释器来实现快速执行，请使用另一个python实现(PyPy)而不是CPython。 点击这里查看python的其他实现，包括PyPy。

你写的python代码被编译成python字节码，它会创建扩展名为.pyc的文件。如果是编译，问题又来了，为什么不是编译语言。

注意，这不是传统意义上的编译。通常，我们会说编译是采用高级语言并将其转换为机器代码。但它是某种汇编。编译到中间代码，而不是机器代码(希望你现在得到它)。

回到执行过程，在编译步骤中创建的pyc文件中的字节码，然后由相应的虚拟机(在我们的例子中是CPython VM)执行 时间戳(称为魔数)用于验证.py文件是否被更改，这取决于创建的新pyc文件。如果pyc是当前代码，那么它简单地跳过编译步骤。