Python Installing External Packages with pip

posted 5 min read

1. Introduction

In python development, the utilization of various packages is a common practice. Pip plays a vital role in managing these packages. In this article, we will be covering basic package management using pip including installation, uninstallation, and upgrading of packages.

What is a pip?

Python has a rich ecosystem of libraries and packages. Managing these packages is crucial for any python developer, and that's where pip comes into play. Pip is a standard package manager for python. It allows you to install packages from the Python Package Index and other indexes.

History and evolution of pip

First introduced as pyinstall in 2008 by Ian Bicking (the creator of the virtualenv package) as an alternative to easy install. Pip was chosen as the new name from one of several suggestions that the creator received in his blog post. According to Bicking himself, the name is a recursive acronym for "Pip Installs Packages". In 2011, the Python Packaging Authority (PyPA) was created to take over the maintenance of pip and virtualenv from Ian Bicking, led by Carl Meyer, Brian Rosner, and Jannis Leidel.

Over the years, it has evolved into a standard package manager for python, offering enhanced features and performance. Major features include dependency resolution, version management, and integration with virtual environments.

2. Installing pip

Verify python installation

Before installing pip verify that python is installed in your system by running the following command in the terminal/command prompt.


python --version


python3 --version

after running the command if it returns something like Python 3.12.1 then it means python is already installed in your system otherwise you can download it here Download Python.

Installation of pip

Once python is installed you can proceed further to install pip by running the following commands in the terminal/command prompt.


Run the following command to download the script.

curl -o

Now execute the downloaded python script by running the following command.


Finally, verify the installation by running the following command.

pip --version


Run the following command to download and install pip.

sudo apt-get update
sudo apt-get install python3-pip

You can verify the installation by running the following command.

pip3 --version


Run the following command to download the script.

curl -o

Now execute the downloaded python script by running the following command.


Finally, verify the installation by running the following command.

pip3 --version

3. Basic usage of pip

Syntax for installing packages using pip

To install a package using pip you have to follow the following syntax.

pip install package_name

You can go more specifically when installing python3 packages to avoid potential conflicts as follows.

pip3 install package_name

Installing packages using pip

Let's try to install a package named pandas using pip.

pip3 install pandas

If you have followed the tutorial step by step, the pip will start installing pandas after running the above command.

4. Installing specific package versions

Specifying package versions

If you are a developer you might be working on existing projects that rely on specific versions of packages. In such cases, you have to install packages that are compatible with your project for that you have to specify the package version while installing it.

pip3 install package_name==version

Let's say you want to install pandas version 1.3.4 here's how you will do it.

pip3 install pandas=1.3.4

Specifying package version ranges

Similarly, you can specify the minimum and maximum version ranges.

pip3 install package_name>=min_version

It will install the package of version equal to or greater than min_version.

pip3 install package_name<=max_version

It will install the package of version equal to or less than max_version.

You can use the above syntax to install packages in the specified range.

pip3 install pandas>=1.3.4

The above command will install a pandas version equal to or greater than 1.3.4.

5. Upgrading and uninstalling packages

Often while working with python you have to upgrade packages or remove the packages from your project so let's see how you can do that using pip.

Upgrading packages

To upgrade an existing package using pip you can follow the below syntax.

pip3 install --upgrade package_name
pip3 install -U package_name

You can upgrade your packages by following either of the syntax. Let's upgrade the pandas package to the latest version.

pip3 install --upgrade pandas
pip3 install -U pandas

Both commands will upgrade the pandas to the latest version you can use either of them.

Tip: The command 'pip3 install -U pandas' will also install the pandas if it does not exist in your project

Upgrading pip

You can upgrade the pip using pip itself, yea it looks odd but trust me it works considering the syntax below.

pip3 install --upgrade pip
pip3 install -U pip

As we discussed before, you can follow either syntax to upgrade the pip.

Uninstalling packages

You can uninstall a package by using the following syntax.

pip3 uninstall package_name

Let's try to uninstall pandas using the above syntax.

pip3 uninstall pandas

Tip: You can upgrade and uninstall multiple packages at the same time as : 'pip install --upgrade package_name_1 package_name_2...' and 'pip uninstall package_name_1 package_name_2...'

6. Conclusion

In this article, we discussed Pip as the standard package manager in Python, emphasizing its versatility in package installation, upgrading, and removal. Through commands like pip3 install package_name for installation and pip3 install --upgrade package_name for upgrades, Pip facilitates efficient package management. Furthermore, we explored installing specific package versions and uninstalling packages using pip3 uninstall package_name. Looking ahead, in the next article we will dive into advanced Pip usage.

7. References

If you read this far, tweet to the author to show them you care. Tweet a Thanks

More Posts

Python Installing External Packages Sources

muhammaduzairrazaq - Mar 25

Mastering Importing Modules in Python

muhammaduzairrazaq - Apr 11

Mastering Data Visualization with Matplotlib in Python

Muzzamil Abbas - Apr 18

Testing in Python: Writing Test Cases with unittest

Abdul Daim - Apr 8

Decorators in Python [With Examples]

aditi-coding - Mar 26