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  1. 9. As already mentioned, you can get a performance increase from having your python code compiled into bytecode. This is usually handled by python itself, for imported scripts only. Another reason you might want to compile your python code, could be to protect your intellectual property from being copied and/or modified.

  2. Feb 25, 2024 · Bytecode is the under-the-hood representation of your Python code, a middle-ground between the high-level Python you write and the binary machine code executed by the computer’s processor. When you run a Python script, your code is transformed into this low-level, platform-independent format, which the Python Virtual Machine (PVM) then executes.

  3. Apr 24, 2024 · How Python Generates Bytecode. When you execute a Python script, the following steps occur: The Python interpreter reads your source code and checks for syntax errors. If there are no syntax errors, the interpreter compiles your code into bytecode. The bytecode is then executed by the Python virtual machine.

  4. Mar 5, 2020 · CPython compiles the python source code into the bytecode, and this bytecode is then executed by the CPython virtual machine. Generating bytecode files. In Python, the bytecode is stored in a .pyc file. In Python 3, the bytecode files are stored in a folder named __pycache__. This folder is automatically created when you try to import another ...

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  5. Python bytecode is a powerful tool that provides insight into how Python executes code, offering advanced developers a chance to optimize and inspect their code at a deeper level.

  6. Jul 22, 2024 · Step 1: Parsing. The first step in the compilation process is parsing. When you run a Python script, the interpreter reads the source code and breaks it down into a series of tokens. Tokens are ...

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  8. May 22, 2024 · Here's a simplified view of the process: Source Code (.py): The original Python script. Bytecode (.pyc): Compiled version of the script, optimised for execution. Python Virtual Machine (PVM): Executes the bytecode. This process ensures that Python code is portable and can be executed efficiently on any platform.

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