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      • Python, as a dynamic language, cannot be "compiled" into machine code statically, like C or COBOL can. You'll always need an interpreter to execute the code, which, by definition in the language, is a dynamic operation.
      stackoverflow.com/questions/1957054/is-it-possible-to-compile-a-program-written-in-python
  1. Python can be used in interpretation mode as well as compilation mode. When you run python code directly from terminal or cmd then the python interpreter starts. Now if you write any command then this command will be directly interpreted.

  2. 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.

  3. Jun 12, 2023 · To compile a Python program, you can use the compile() function provided by Python. The compile() function in Python has the following syntax: compile ( source , filename , mode , flags = 0 , dont_inherit = False , optimize =- 1 )

  4. Nov 2, 2023 · Python compile() function takes source code as input and returns a code object that is ready to be executed and which can later be executed by the exec() function. Syntax compile(source, filename, mode, flags=0, dont_inherit=False, optimize=-1)

  5. Aug 23, 2023 · The compile() function in Python is a powerful built-in function that allows you to transform source code written in a high-level language into a form that can be executed by the Python interpreter. It takes source code as input and returns a code object, which can then be executed using the exec() function, eval() , or passed to functions like ...

  6. Nov 23, 2023 · Python's compilation process results in the creation of bytecode. This intermediate code is not directly executed by the machine but serves as an intermediary step. The advantages of this approach include improved execution speed and platform independence. 4. Interpretation in Python.

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  8. Dec 30, 2023 · Python also ventures into compilation. Tools like Cython transmute Python code into C, offering a speed boost. Moreover, PyPy’s Just-In-Time (JIT) compilation optimizes performance by...

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