What do these python file extensions mean? .pyc .pyd .pyo What are the differences between them and how are they generated from a *.py file?
The difference between .pyo and .pyc is that .pyo is optimised and that means that you will not be able to use certain features like docstrings. .pyc is the whole deal, with no limitations.
I'd like to enforce pyo instead of pyc to yield the smallest footprint possible. In order to do that in my deploy module i have to create a wrapper script that launches the actual script with the -O option, because the environment variable needs to be specified prior to starting the interpreter.
Totally doable... First, let's cover a basic example of how to (in the general sense) get the results out of pyomo after a solve. Recall, that after the solver completes, the optimal values of the variables will be loaded into the model variables. Here is a cheap example that shows 3 ways to extract data from the variables. There are many others, depending on what needs to be done. Of note ...
How to extract Indexed Variable information in pyomo Model and build ...
The *.py, *.pyo, and *.pyc files in the Python library account for a sizable amount of space, I'm wondering which of these options would be most reasonable for a Python 2.6 installation in a small embedded system: Keep *.py, eliminate *.pyc and *.pyo (Maintain ability to debug, performance suffers?)
Python *.py, *.pyo, *.pyc: Which can be eliminated for an Embedded ...
The option will generate "optimized" bytecode (written to .pyo files), and given twice, it will discard docstrings. From Python's man page: -O Turn on basic optimizations. This changes the filename extension for compiled (bytecode) files from .pyc to .pyo. Given twice, causes docstrings to be discarded. This option's two major features as I see ...