Coming from a Node.js + npm background, it is really nightmarish trying to understand all the things related to Python package management. After a few hours of research, I've stumbled upon all those keywords:
Can someone help me decipher those terms and put them in historical context? For example, "distutils was the first package manager but it was superseded by X in Y because Z".
I absolutely love Python (the language) but package management seems like a real nightmare to learn for someone who has been using the amazing npm for the last few years.
pip is the de facto package manager in the Python world. It can install packages from many sources, but PyPI is the primary package source where it's used. When installing packages, pip will first resolve the dependencies, check if they are already installed on the system, and, if not, install them.
Pip is python's package manager. It has come built-in to Python for quite a while now, so if you have Python, you likely have pip installed already. Pip installs packages like tensorflow and numpy, pandas and jupyter, and many more, along with their dependencies.
Python Package Manager (PyPM) is a Python utility intended to simplify the tasks of locating, installing, upgrading and removing Python packages. It can determine if the most recent version of a software package is installed on a system, and can install or upgrade that package from a local or remote host.
Types of Packages
Egg vs Wheel vs Neither. What's meant by neither is that a python package can be installed from its "source" without being packaged as an egg or wheel.
Packaging Utilities
There are several libraries which provide utilities for packaging python applications, including distutils and setuptools. There is already an excellent post on this.
easy_install
Part of setuptools, allows building and installing python packages. Often discouraged in favor of Pip. Designed to make installation of packages easy, doing the chore of downloading and moving them to the correct place for you (hence the name).
Pip
A package manager for python packages, and a replacement for easy_install! See here for some reasons why people prefer it over easy_install. Can do neat things like install a package directly from a git repository or compile C extensions on the target machine. The latter is debatable as to whether or not it's desirable, but nonetheless it's a nice feature to have if you want it.
PyPI
The python package index, where easy_install and Pip search for available packages, by default. Basically a giant online repository of modules that are accepted by the community.
virtualenv
A way of hacking your environment variables to "isolate" an installation of python and it's related modules. Prefers Pip, because Ian Bicking wrote them both. Basically, you use pip to install virtualenv system wide, which then allows you to create python virtual environments, each with their own copy of python, pip, and assorted modules. This lets you have multiple versions of python or install a module just for testing, without mucking up your system-wide python install.
virtualenvwrapper
A really handy shell script that makes creating and tearing down virtual environments easier.
site-packages
One of the supported locations for installing python modules into. Lives someplace like /usr/lib/pythonX.X/site-packages
. There are other supported locations, like dist-packages
or user specific locations.
What does all this mean for you?
I'd recommend you don't pay any attention to easy_install and just use pip. Please also always use virtualenv. Usually, the only python modules you should install system-wide on your workstation are pip and virtualenv. I've completely ignored eggs and wheels, but if you plan to distribute packages professionally or host them on PyPI, you probably want to investigate those. Also, if you are creating python packages, you will need to learn to write a setup script, with setuptools. My recommendation is to never use distutils.
Some more Reading
A page on python.org about packaging which covers a lot of these topics
Python packaging is a nightmare
A great post that goes against the most common recommendations, including mine!
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