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Python does create.pyc files
- 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
Python does create .pyc files (so-called byecode) whenever a library is imported. AFAIK the bytecode can only speed up load times, not execution times. –
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.
Mar 5, 2020 · 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 file that you created: import file_name. However, it will not be created if we don’t import another file in the source code.
- Reza Bagheri
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.
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.
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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Apr 24, 2024 · 4 min read. ·. Apr 24, 2024. 2. Photo by David Clode on Unsplash. When you run a Python script, your code goes through several stages before the Python interpreter executes it. One of these stages involves the generation of bytecode, a low-level representation of your code that the Python virtual machine can understand and execute.