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  1. Jun 8, 2010 · Python for example, compile source code to bytecode [usually found as .pyc files accompanying the .py source codes], compile bytecode to machine code [done by a virtual machine such as PVM and the result is an executable file], interpret the machine code/executable for execution.

  2. May 30, 2024 · The Python interpreter generates .pyc files automatically when a .py file is imported or executed. When a Python script is executed, the interpreter first checks if there is a corresponding .pyc file for that script.

  3. 6 days ago · When you import a .py module in Python, the interpreter compiles that module into bytecode and writes it as a .pyc file. If the source file has not changed, subsequent imports use the .pyc file to skip the compilation step, drastically improving the loading time. Here’s how you might manually compile a Python file using the py_compile library:

  4. .pyc files are a performance optimization in Python, storing compiled bytecode so that Python programs can run faster by skipping the compilation step on subsequent executions.

  5. The .pyc files you see are byte code for the Python virtual machine (similar to Java's .class files). They are not the same as the machine code generated by a C compiler for a native machine architecture.

  6. Oct 21, 2024 · Why are .pyc files created? The primary reason is to optimize performance. When a .py file is executed for the first time, the interpreter compiles it into bytecode and stores it in a corresponding .pyc file.

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  8. May 20, 2024 · Understanding the differences between these two types of files is essential for efficient Python programming and debugging. '.py' files contain human-readable source code written by developers, while '.pyc' files are compiled bytecode generated by the Python interpreter to speed up module loading.

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