Apr 26, 2024 · Python uses local __pycache__ folders to store the compiled bytecode of imported modules in your project. On subsequent runs, the interpreter will try to load precompiled …

Sep 7, 2023 · Performance: Storing bytecode in the "__pycache__" folder speeds up the execution of your Python programs. It reduces the overhead of recompiling the source code …

What is the best way to clear out all the __pycache__ folders and .pyc /.pyo files from a Python project? I have seen multiple users suggest the pyclean script bundled with Debian, but this …

Jun 19, 2023 · In this guide, we’ll break down what the __pycache__ folder is, why Python generates it, and how you can manage or remove it safely. Python is an interpreted language, …

Feb 16, 2022 · You may have noticed that when executing Python code, a directory named __pycache__ is (sometimes) being created that contains numerous files with .pyc extension. …

Sep 1, 2025 · At the point when you run a program in python, the interpreter compiles it to bytecode first and stores it in the __pycache__ folder. If you go through there you will find a lot …

Dec 5, 2025 · Python is an interpreted language, it runs your code line by line. But when you run a Python program, it creates a _pycache_ folder with compiled bytecode (.pyc)!

Oct 29, 2025 · 因为第一次执行代码的时候，Python解释器已经把编译的字节码放在 __pycache__ 文件夹中，这样以后再次运行的话，如果被调用的模块未发生改变，那就直接跳过编译这一 …

Apr 13, 2024 · Open your terminal in your project's root directory. Issue the following command. The command uses a regular expression to find and remove the __pycache__ directories, .pyc …

# All the interpreted files are stored in the _pycache_ files. # We can say _pycache_ file is a folder containing all the interpreted .pyc files. # The data in .pyc files in the _pycache _ folder is the …