How to install pip with Python 3?

To install pip with Python 3, you can use the following command:

Install pip with Python 3

python3 -m ensurepip --upgrade

Note: Depending on your system permissions, you may need to add --user or run the command with sudo.

This command will upgrade pip if it is already installed, and if it is not installed, it will install it for the version of Python that you're currently running.

Alternatively, you can download the get-pip.py script from the official pip website, and then use the Python interpreter to run the script:

Download the get-pip.py script from the official pip website, and then use the Python interpreter to run the script

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python3 get-pip.py

Note: You may need to run this with sudo or add --user depending on your system's permission settings.

This will install pip for the version of Python that you're currently running.

It's worth mentioning that starting from Python 3.4, pip is included with the Python standard library. So if you are running Python 3.4 or later, you should already have pip installed. You can check the version of pip you have by running the following command:

Check the version of pip3 you have

pip3 --version

Also note that, on some systems, the pip command is called pip3, so you may need to use pip3 instead of pip in the commands above.

Once pip is installed, you can use it to install packages and modules for your Python 3 environment by running commands like:

Install packages and modules using pip

pip3 install <package-name>

You can also use it to upgrade packages by running:

Upgrade packages and modules using pip

pip3 install --upgrade <package-name>

If you have multiple versions of Python installed, make sure that you're running the version of pip that corresponds to the version of Python you're using. You can verify which Python version your pip command targets by running:

Verify the pip version

pip --version

pip3 --version

The output will show the Python path that pip is linked to. Ensure it matches the Python version you intend to use, otherwise you should use the correct command to install packages for the Python version you are working with.

For project isolation, it is recommended to use virtual environments when installing packages.