Use 'python -m pip' Everywhere

2020-02-25 Everywhere I tell you! Everywhere!

I’ve just moved all my open source repositories from using plain pip to python -m pip, in test scripts and documentation.

This is following Brett Cannon’s article from November last year Why you should use python -m pip, and Donald Stufft’s 4.5 year old issue on the Pip repo itself. Both describe in depth the problems that using the pip executable can lead to, and are well worth a read.

In brief, the main problem:

Most Python developers install more than one Python version. This is either due to their OS including an old Python by default, working on projects that use different versions, or simple experimentation.

Running the pip executable with more than one Python version can be unpredictable. When you upgrade pip on one version, it can replace the executable from the other. So running pip install at one moment might use Python 2.7, then later it could use Python 3.7.

It’s not hard to see how this can lead to problems understanding what’s installed where and when.

When you use python -m pip, the pip package is executed explicitly with the version of Python that python points to. If you have other interpreters, you can use them precisely and predictably, e.g. python3.6 -m pip.

More typing, but much less trouble.


Update (2020-04-11): Added this section.

If you want to always use python -m pip, but don’t like the typing, no worries. You can use a shell alias to make pip map to it. For example, I use ZSH and in my ~/.zshrc I have:

alias pip='python -m pip'

This way, when I type pip install django, it’s replaced with python -m pip install django.

The file to place this in depends on your shell. On Bash it’s either ~/.bashrc or ~/.bash_profile (if one already exists, edit that). If you’re using another shell, check its documentation.


Enjoy using python -m pip,


P.S. python -m pip was actually my entry in the “Is there a Dr. on this flight?” Twitter meme.

Want better tests? Check out my book Speed Up Your Django Tests which teaches you to write faster, more accurate tests.

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Tags: python