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      • Python uniquely combines aspects of both compiled and interpreted languages. When you write Python code and execute it, the Python interpreter initially compiles your source code (.py file) into byte code, a lower-level, platform-independent format. This compilation is automatic and transparent to the user.
      graycode.ie/blog/is-python-compiled-or-interpreted-understanding-pythons-unique-process/
  1. The python code you write is compiled into python bytecode, which creates file with extension .pyc. If compiles, again question is, why not compiled language. Note that this isn't compilation in the traditional sense of the word.

  2. Aug 2, 2019 · The compilation part is done first when we execute our code and this will generate byte code and internally this byte code gets converted by the python virtual machine (p.v.m) according to the underlying platform (machine+operating system).

  3. When the python file (somefile.py) is executed directly ( ./somefile.py or python somefile.py ) no .pyc file is created and the code is executed as is indicating interpreted behavior. These suggest that a python code is compiled every time it is imported in a new process to create a .pyc while it is interpreted when directly executed.

  4. You can type Python statements and have them immediately executed. This interactivity is usually missing in “compiled” languages, but even at the Python interactive prompt, your Python is compiled to bytecode, and then the bytecode is executed.

  5. Dec 30, 2023 · Moreover, PyPy’s Just-In-Time (JIT) compilation optimizes performance by compiling code during runtime, adapting dynamically to the code’s execution profile. Advantages: Why Python Reigns ...

  6. Dec 22, 2023 · This means that the Python interpreter reads and executes your code line by line, directly translating it into actions without creating a separate executable file beforehand.

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  8. 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.

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