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    .pyc & Python

    Python bytecode / 字节码

    Python compiles the .py files and saves it as .pyc files , so it can reference them in subsequent invocations.

    The .pyc contain the compiled bytecode of Python source files, which is what the Python interpreter compiles the source to.

    This code is then executed by Python's virtual machine . There's no harm in deleting them (.pyc), but they will save compilation time if you're doing lots of processing.

    Python会编译.py文件并将其保存为.pyc文件,因此它可以在后续调用中引用它们。

    .pyc包含Python源文件的已编译字节码,这是Python解释器将源代码编译到的字节码。

    然后,此代码由Python的虚拟机执行。删除它们(.pyc)没有什么害处,但是如果您要进行大量处理,它们将节省编译时间。

    test.py

    # coding: utf8
    
    __author__ = 'xgqfrms'
    __editor__ = 'vscode'
    __version__ = '1.0.1'
    __copyright__ = """
      Copyright (c) 2012-2050, xgqfrms; mailto:xgqfrms@xgqfrms.xyz
    """
    
    class Test(object):
      def sum(a, b):
        return a + b
    
    

    test.pyc

    �
    �*_c�����������@���s2���d��Z��d�Z�d�Z�d�Z�d�e�f�d�������YZ�d�S(���t���xgqfrmst���vscodes���1.0.1s@���
      Copyright (c) 2012-2050, xgqfrms; mailto:xgqfrms@xgqfrms.xyz
    t���Testc�����������B���s���e��Z�d�����Z�RS(���c���������C���s���|��|�S(���N(����(���t���at���b(����(����s@���/Users/xgqfrms-mbp/Documents/GitHub/Python/spider/spider/test.pyt���sum
    ���s����(���t���__name__t
    ���__module__R���(����(����(����s@���/Users/xgqfrms-mbp/Documents/GitHub/Python/spider/spider/test.pyR���	���s���N(���t
    ���__author__t
    ���__editor__t���__version__t
    ���__copyright__t���objectR���(����(����(����s@���/Users/xgqfrms-mbp/Documents/GitHub/Python/spider/spider/test.pyt���<module>���s���
    
    

    env

    声明为可执行文件, 不会编译成字节码

    #! /usr/bin/env python
    # 声明为可执行文件
    
    # coding: utf8
    
    __author__ = 'xgqfrms'
    __editor__ = 'vscode'
    __version__ = '1.0.1'
    __copyright__ = """
      Copyright (c) 2012-2050, xgqfrms; mailto:xgqfrms@xgqfrms.xyz
    """
    class Test(object):
      def sum(a, b):
        return a + b
    
    
    
    

    refs

    http://net-informations.com/python/iq/pyc.htm

    https://stackoverflow.com/questions/2998215/if-python-is-interpreted-what-are-pyc-files

    https://en.wikipedia.org/wiki/Pyc


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