Install a module using pip for specific python version
Install a Python package for a specific version of Python using that version's pip directly:
For Python 2:
For Python 3:
For minor Python versions, mention it directly:
Where your_package
is the package to install and 3.8
is the specific Python version.
Understanding the -m flag with pip
The -m
flag with pip is a golden key to unlocking the specific Python version's pip. Let's unravel a few scenarios to understand its power:
Using -m
flag
When you have several Python versions cohabiting, your pip might belong to an unforeseen Python version. The -m
flag ensures that pip corresponds to the Python interpreter you specify:
Python and setuptools
Some older distributions may have an outdated setuptools parcel linked with a different Python version. You may need to update setuptools or use easy_install:
Working with Windows
In the world of Windows, use py -2
:
Post installation β Validation
After installing the package, snugly check its compatibility with your python version. Ignoring this step could make your application vomit traceback errors later!
Virtual environments to the rescue
If you want to quarantine your python packages, embrace virtual environments! They isolate your project space and equip it with version-specific pip and Python:
Navigating Multiple Python Versions
Dealing with multiple versions of Python on the same system can feel like handling a python snake pit. Let's dive into some tips on skilfully doing this:
Identifying the correct pip version
A specific pip version might already be lurking in your system for your selected Python version. Check with:
Using pyenv for handling multiple Python versions
The pyenv tool lets you effortlessly switch between multiple versions of Python. Use:
The power of Docker for isolation
Want complete isolation and consistency across systems? Turn to Docker! A Dockerfile is all it takes to containerize your Python environment:
Package installation validation
Packages can like python versions as much as cats like napping. Some might be incompatible with a specific Python version. Always validate after installation:
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