There is also zip app [1] if you already have python installed<p>[1] <a href="https://docs.python.org/3/library/zipapp.html" rel="nofollow">https://docs.python.org/3/library/zipapp.html</a>
This seems to be focused on packaging <i>applications</i>, and suggests that wheel is not good enough if you have a dependency on a C library. I am surprised since I thought you could embed a C library in a wheel.<p>I would like to know, is wheel+pypi an acceptable way to go to package and distributed a Python <i>library</i> that includes a C library (so/dll)?<p>I get the impression that big libraries like numpy and tensorflow use this method to pretty good effect. It seems easier than trying to compile the C libraries on the target machine, but is it quite difficult to achieve multiplatform support this way?
> The Conda package system packages both Python packages and C shared libraries and the Python interpreter into Conda packages.<p>This doesn't sound correct. Conda packages don't actually include the entire Python interpreter in them right?<p>A prerequisite to installing Conda packages is to have Anaconda/Miniconda installed which brings in the Python interpreter and a given set of packages depending on the version you install but that doesn't mean that each Conda package will be carrying the interpreter with it.