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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.
May 30, 2024 · Though python creates the .pyc files automatically, however, we can also manually generate the python .pyc files for a python .py files. To create a compiled .pyc file for a module that hasn’t been imported yet, you can use the py_compile and compileall modules in Python.
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.
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.
Python source code (.py) can be compiled to different byte code also like IronPython (.Net) or Jython (JVM). There are multiple implementations of Python language. The official one is a byte code interpreted one. There are byte code JIT compiled implementations too.
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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.