blocks|key|306125|text|当您在python中运行程序时，解释器首先将其编译为字节码(这是一种过度简化)，并将其存储在__pycache__文件夹中。如果你查看那里，你会发现在你的项目文件夹中有一堆文件共享.py文件的名称，只有它们的扩展名是.pyc或.pyo。它们分别是程序文件的字节码编译版本和优化字节码编译版本。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|306126|作为一个程序员，你可以忽略它……它所做的就是让你的程序启动得更快一点。当您的脚本更改时，它们将被重新编译，如果您删除这些文件或整个文件夹并再次运行您的程序，它们将重新出现(除非您专门禁止该行为)。|306127|当您将代码发送给其他人时，通常的做法是删除该文件夹，但您是否这样做并不重要。当您使用版本控制(git)时，此文件夹通常会在忽略文件(.gitignore)中列出，因此不会包含在其中。|306128|如果您使用的是cpython+(这是最常见的，因为它是参考实现)，并且您不想要这个文件夹，那么可以通过使用-B标志启动解释器来禁止它，例如|306129|python+-B+foo.py|code-block|syntax|javascript|306130|正如tcaswell所指出的，另一个选项是将环境变量PYTHONDONTWRITEBYTECODE设置为任何值(根据python的手册页，任何“非空字符串”)。|306131|entityMap^0|1A|B|0|0|1B|3|1U|A|0|0|0|Q|N|0^^$0|@$1|2|3|4|5|6|7|U|8|@$9|V|A|W|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|X|8|@]|D|@]|E|$]]|$1|H|3|I|5|6|7|Y|8|@$9|Z|A|10|B|C]|$9|11|A|12|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|13|8|@]|D|@]|E|$]]|$1|L|3|M|5|N|7|14|8|@]|D|@]|E|$O|P]]|$1|Q|3|R|5|6|7|15|8|@$9|16|A|17|B|C]]|D|@]|E|$]]|$1|S|3|-4|5|6|7|18|8|@]|D|@]|E|$]]]|T|$]]

When you run a program in python, the interpreter compiles it to bytecode first (this is an oversimplification) and stores it in the <code>__pycache__</code> folder. If you look in there you will find a bunch of files sharing the names of the .py files in your project's folder, only their extensions will be either .pyc or .pyo. These are bytecode-compiled and optimized bytecode-compiled versions of your program's files, respectively.
As a programmer, you can largely just ignore it... All it does is make your program start a little faster. When your scripts change, they will be recompiled, and if you delete the files or the whole folder and run your program again, they will reappear (unless you specifically suppress that behavior).
When you're sending your code to other people, the common practice is to delete that folder, but it doesn't really matter whether you do or don't. When you're using version control (<code>git</code>), this folder is typically listed in the ignore file (<code>.gitignore</code>) and thus not included.
If you are using cpython (which is the most common, as it's the reference implementation) and you don't want that folder, then you can suppress it by starting the interpreter with the -B flag, for example
<pre><code>python -B foo.py
</code></pre>
Another option, as noted by tcaswell, is to set the environment variable <code>PYTHONDONTWRITEBYTECODE</code> to any value (according to python's man page, any &quot;non-empty string&quot;).

blocks|key|306174|text|在3.2和更高版本中，Python将.pyc编译的字节代码文件保存在一个名为__pycache__的子目录中，该子目录位于源文件所在的目录中，文件名用于标识创建这些文件的Python版本(例如script.cpython-33.pyc)|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|306175|entityMap^0|12|B|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

In 3.2 and later, Python saves .pyc compiled byte code files in a sub-directory named <code>__pycache__</code> located in the directory where your source files reside with filenames that identify the Python version that created them (e.g. script.cpython-33.pyc)

blocks|key|306221|text|当您使用以下代码行时，将创建一个__pycache__文件夹：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|306222|import+file_name|code-block|syntax|javascript|306223|或者尝试从您创建的另一个文件中获取信息。这使得在第二次运行程序打开另一个文件时速度会更快一些。|306224|entityMap^0|G|B|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@$9|P|A|Q|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|R|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|S|8|@]|D|@]|E|$]]|$1|M|3|-4|5|6|7|T|8|@]|D|@]|E|$]]]|N|$]]

A <code>__pycache__</code> folder is created when you use the line:

<pre><code>import file_name
</code></pre>

or try to get information from another file you have created. This makes it a little faster when running your program the second time to open the other file.

blocks|key|89271|text|python解释器编译*.py脚本文件，并将编译结果保存到python目录。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|89272|当项目再次执行时，如果解释器发现*.py脚本未被修改，它将跳过编译步骤，并运行先前生成的存储在__pycache__文件夹中的*.pyc文件。|offset|length|style|CODE|89273|当项目比较复杂时，可以缩短项目运行前的准备时间。如果程序太小，您可以使用带有B选项的python+-B+abc.py忽略它。|89274|entityMap^0|0|1B|B|0|12|1|16|G|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|M|8|@$D|N|E|O|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|P|8|@$D|Q|E|R|F|G]|$D|S|E|T|F|G]]|9|@]|A|$]]|$1|J|3|-4|5|6|7|U|8|@]|9|@]|A|$]]]|K|$]]

The python interpreter compiles the *.py script file and saves the results of the compilation to the <code>__pycache__</code> directory.

When the project is executed again, if the interpreter identifies that the *.py script has not been modified, it skips the compile step and runs the previously generated *.pyc file stored in the <code>__pycache__</code> folder.

When the project is complex, you can make the preparation time before the project is run shorter. If the program is too small, you can ignore that by using <code>python -B abc.py</code> with the <code>B</code> option.

blocks|key|306347|text|执行python脚本会导致在内存中生成字节码，并一直保存到程序关闭。在导入模块的情况下，为了提高可重用性，Python会创建一个缓存.pyc+(Python是“Python”的意思是“编译的”)文件，其中缓存了导入模块的字节代码。我的想法是通过避免重新导入python模块时的重新编译(一次编译，多次运行策略)来加速python模块的加载。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|306348|该文件的名称与模块名称相同。初始点后面的部分表示创建缓存的Python实现(可以是CPython)，后跟其版本号。|306349|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

Execution of a python script would cause the byte code to be generated in memory and kept until the program is shutdown.
In case a module is imported, for faster reusability, Python would create a cache .pyc (PYC is 'Python' 'Compiled') file where the byte code of the module being imported is cached.
Idea is to speed up loading of python modules by avoiding re-compilation ( compile once, run multiple times policy ) when they are re-imported.

The name of the file is the same as the module name. The part after the initial dot indicates Python implementation that created the cache (could be CPython) followed by its version number.

From what I understand, a cache is an encrypted file of similar files.

What do we do with the <code>__pycache__</code> folder? Is it what we give to people instead of our source code? Is it just my input data? This folder keeps getting created, what it is for?

What is __pycache__?

解释器

Python

据我所知，缓存是类似文件的加密文件。我们该如何处理__pycache__文件夹？它是我们提供给人们的东西而不是我们的源代码吗？这只是我的输入数据吗？这个文件夹一直在被创建，它是用来做什么的？

问什么是pycache？
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