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- Python does create.pyc files (so-called byecode) whenever a library is imported.
stackoverflow.com/questions/6889747/is-python-interpreted-or-compiled-or-bothIs Python interpreted, or compiled, or both? - Stack Overflow
Nov 24, 2016 · if Python finds only a byte code file on the search path and no source, it simply loads the byte code directly; this means you can ship a program as just byte code files and avoid sending source. But when attempting the same on Python 3.5, it doesn't work: ~/Python/Module_Test$ cat a.py a = "abc" l = [1,2,3]
Mar 7, 2024 · Byte Code is automatically created in the same directory as .py file, when a module of python is imported for the first time, or when the source is more recent than the current compiled file. Next time, when the program is run, python interpreter use this file to skip the compilation step.
Apr 23, 2018 · Accessing and understanding Python bytecode. If you want to play around with this, the dis module in the Python standard library is a huge help; the dis module provides a "disassembler" for Python bytecode, making it easy to get a human-readable version and look up the various bytecode instructions.
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.
dis: bytecode disassembler https://docs.python.org/library/dis.html >>> def hello():... return "Kaixo!"... >>> import dis >>> dis.dis(hello) 2 0 LOAD_CONST 1 ('Kaixo!') 3 RETURN_VALUE
Jun 8, 2023 · Python code is executed using bytecode, which acts as a bridge between machine execution and source code that can be viewed by humans. Understanding bytecode may help with performance analysis...
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How Python code is converted to bytecode?
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.