Python PIP Cheat Sheet for Linux

If you are new to the Python programming language or have some experience in navigating around popular programming languages, then you must have crossed paths with PIP.

The Python module installed on your Linux operating system distribution is associated with numerous packages and libraries that help lessen common hurdles affecting your Python projects.

To install such packages and libraries, we need the aid of Python PIP, which is a useful Python package manager that is effective in fetching, installing, and configuring needed Python packages and libraries.

The usage of the PIP Python package manager is not always clear and might require continuous internet searches to find the appropriate command syntax associated with it.

[ You might also like: How to Install Python PIP in Linux ]

This article guide will unravel some useful Python PIP cheats that should help us master the usage of this Python-based utility.

The reference syntax for executing commands through Python PIP is as follows:

$ python3 -m pip <command> [options]

Install Python Virtual Environment

In the above case, the Python PIP command is globally executed. However, when you have multiple Python projects and need to run them concurrently, it is advisable to make use of a virtual environment so that your project modules do not mix.

The syntax for the above command under a virtual environment will look as follows:

(env_name)$ python3 -m pip <command> [options]

To install a virtual environment, run:

$ python3 -m pip install --user virtualenv
Install Python Virtual Environment
Install Python Virtual Environment

Create Python Virtual Environment

To create a Python virtual environment, run:

$ python3 -m venv my_venv

You will need to install python3-venv from your distribution package manager before executing the above command:

$ sudo apt install -y python3-venv         [On Debian, Ubuntu and Mint]
$ sudo yum install python3-venv            [On RHEL/CentOS/Fedora and Rocky Linux/AlmaLinux]
$ sudo emerge -a dev-python/virtualenv     [On Gentoo Linux]
$ sudo apk add python3-venv                [On Alpine Linux]
$ sudo pacman -S python3-venv              [On Arch Linux]
$ sudo zypper install python3-venv         [On OpenSUSE]    

To activate the Python virtual environment, run:

$ source my_venv/bin/activate

To deactivate the Python virtual environment, run:

(my_venv) $ deactivate 

You can create as many virtual environments as you like for each of your Python projects.

Python PIP Commands Cheat Sheet

In this section, we will look at some of the useful pip commands usage with examples.

PIP – Install Python Package

To install a Python package/library, we will run:

$ python3 -m pip install pillow
Install Python Package in Linux
PIP – Install Python Package in Linux

PIP – Download Python Package

To download a Python package/library instead of directly installing it, run:

$ python3 -m pip download flask
PIP - Download Python Package in Linux
PIP – Download Python Package in Linux

PIP – Uninstall Python Package

To uninstall a Python package/library, run:

$ python3 -m pip uninstall requests
PIP - Uninstall Python Package in Linux
PIP – Uninstall Python Package in Linux

PIP – Copy Installed Packages

Supposing that you used a Python virtual environment to install the packages and libraries you needed to run your project. To transfer and run the project on a different Linux operating system environment/platform, you will need a list of these packages/libraries.

This list can be created in the following manner:

$ python3 -m pip freeze > requirements.txt
$ cat requirements.txt
Create Python Packages List
Create Python Packages List

PIP – Install Package from File

To install the packages/libraries on the requirements list, we will run:

$ python3 -m pip install -r requirements.txt 
Install Python Package in List
Install Python Package in List

PIP – View Virtual Environment

To inspect an existing virtual environment, run:

$ python3 -m pip name_of_virtual_environment 

If the virtual environment is correctly set up, you should get an output similar to the following:

View Python Virtual Environment
View Python Virtual Environment

PIP – List Installed Packages

To list all PIP-installed packages/libraries, run:

$ python3 -m pip list
List PIP Installed Packages
List PIP Installed Packages

PIP – Check Package Information

For detailed information on a specific installed package/library, run:

$ python3 -m pip show pillow
PIP List Package Information
PIP List Package Information

PIP – Check Package Dependencies

If you wish to make sure an installed package/library has no broken dependencies, run:

$ python3 -m pip check pillow

PIP – Search for Package

The following PIP approach for searching for Python packages prior to their installation is permanently banned and therefore you will need to directly search Python packages at pypi.org before installing with PIP:

$ python3 -m pip search flask
PIP Search Package
PIP Search Package

PIP – Debugging for Errors

To perform some debugging in case you encounter some errors, run:

$ python3 -m pip debug
PIP Debugging for Errors
PIP Debugging for Errors

PIP – Get Command Help

To get help in using a specific PIP command, run:

$ python3 -m pip help config 
PIP Command Help
PIP Command Help

PIP – List of Commands

For a complete list of PIP commands, run:

$ python3 -m pip --help 
List of PIP Commands
List of PIP Commands

With this PIP cheat sheet article, you should be able to explore your Python projects to their full potential.

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