Python doesn't have any exact equivalent to a .jar file.
There are many differences, and without knowing exactly what you want to do, it's hard to explain how to do it. But the Python Packaging User Guide does a pretty good job of explaining just about everything relevant.
Here are some of the major differences.
A .jar file is a compiled collection of classes that can be dropped into your application, or installed anywhere on your CLASSPATH.
In Python:
- A
.py (or .pyc) module can be dropped into your application, or installed anywhere on your sys.path, and it can be imported and used.
- A directory full of modules can be treated the same way; it becomes a package (or, if it doesn't contain an
__init__.py, it merges with other directories of the same name elsewhere on sys.path into a single package).
- A
.zip archive containing any number of modules and packages can be stored anywhere, and its path added to your sys.path (e.g., at runtime or via PYTHONPATH) and all of its contents become importable.
Most commonly, you want things to be installed into a system, user, or virtualenv site-packages directory. The recommended way to do that is to create a pip-compatible package distribution; people then install it (and possibly automatically download it from PyPI or a private repo) via pip.
pip does a lot more than that, however. It also allows you to manage dependencies between packages. So ideally, instead of listing a bunch of prereqs that someone has to go download and install manually, you just make them dependencies, and someone just has to pip install your-library. And it keeps track of the state of your site-packages, so you can uninstall or upgrade a package without having to track down the specific files.
Meanwhile, in Java, most .jar files are cross-platform; build once, run anywhere. A few packages have JNI native code and can't be used this way, but it's not the norm.
In Python, many packages have C extensions that have to be compiled for each platform, and even pure-Python packages often need to do some install-time configuration. And meanwhile, "compiling" pure Python doesn't do anything that can't be done just as well at runtime. So in Python, you generally distribute source packages, not compiled packages.
However, .wheel is a binary package format. You can pip wheel to build binary packages for different targets from the source package; then, if someone tries to pip install your package, if there's a wheel for his system, that will be downloaded and installed.
