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They are imported
- The reason some files get compiled automatically is because they are imported; for instance, if you use import mylib.py, Python will compile mylib.py so that future import statements run a little faster. If you later change mylib.py, then it will get re-compiled next time it is imported (Python uses the file date to see that this happens.)
stackoverflow.com/questions/471191/why-compile-python-code
The reason some files get compiled automatically is because they are imported; for instance, if you use import mylib.py, Python will compile mylib.py so that future import statements run a little faster.
Feb 26, 2012 · Python has a compiler! You just don't notice it because it runs automatically. You can tell it's there, though: look at the .pyc (or .pyo if you have the optimizer turned on) files that are generated for modules that you import. Also, it does not compile to the native machine's code.
Pretty much every Python implementation consists of an interpreter (rather than a compiler). 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.
Jul 1, 2024 · In Python, the compilation to bytecode is implicit and handled by the interpreter. Execution: Compiled code runs directly on the hardware, offering potential performance benefits. Interpreted code runs within an interpreter, adding a layer between your code and the hardware.
Mar 20, 2022 · Files with .pyc extension are the result of compiling files with .py extension. A .pyc file for a given Python module gets automatically created when that module is imported. Note: as a Python developer you will only make code changes to .py files.
Compiling Python code is accomplished using the compile() function, which takes three arguments: the Python code, a filename, and a mode. The filename and mode are optional parameters, but specifying a filename can be useful for debugging.
Feb 10, 2014 · You can't just add somebody else's code, compiled or not, without asking the person/company or even pay fees. In Python, these built modules you talk about are Python Extensions. They are usually there to improve performance or access low-level functionality which is not in Python.
