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  1. Oct 26, 2015 · a = """ def fact(): a = 8 a = 0 return a """ c = compile(a, '<string>', 'exec') fn_code = c.co_consts[0] # Pick up the function code from the main code from dis import dis dis(fn_code) print("=" * 30) x = fn_code.co_code[6:16] # modify bytecode import types opt_fn_code = types.CodeType(fn_code.co_argcount, # c.co_kwonlyargcount, Add this in Python3 # c.co_posonlyargcount, Add this in Python 3. ...

  2. Jun 8, 2023 · The Python compiler, which is a component of the CPython interpreter, converts your source code into CPython bytecode at this stage. This bytecode is a set of lower-level, cross-platform instructions.

  3. 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.

  4. Mar 5, 2020 · It is important to note that the code object is immutable. So once created we cannot change it. Suppose that we want to change the bytecode of the following function: def f(x, y): return x + y c = f.__code__. Here we cannot change the bytecode of the code object of the function directly.

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  5. Jun 6, 2024 · Python bytecode is the hidden language that makes your Python program run. It’s a lower-level representation of your code that the Python interpreter understands and executes. Bytecode is generated from your source code through a compilation process and stored in .pyc files for faster execution in future runs.

  6. Aug 16, 2023 · To interact with Python bytecode directly, we will be using Python’s built-in dis module. The dis module provides the means to analyze Python bytecode by “disassembling” it into a human-readable form. Let’s start with a simple example: import dis. def hello_world():

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  8. 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.

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