PIP (Pip Installs Packages) manages Python package installation and updates on your system. Without it, you need to download and install Python libraries manually, which becomes impractical as your projects grow.
You will check your Python installation, install PIP using either ensurepip or cURL and verify the installation works correctly. Once complete, you can install any Python package from the command line.
PIP requires Python to be installed before it can work. You need to confirm Python is present and check which version you have.
cmd and press Enter.python --version
If Python is installed, you will see the version number displayed (for example, Python 3.13.1). If you see an error message, you need to install Python before continuing.

The ensurepip module comes bundled with Python 3.4 and later. This method installs PIP directly from your Python installation without downloading external files.
py -m ensurepip --upgrade
This command installs PIP and upgrades it to the latest version if an older version exists. The installation completes in a few seconds.
If ensurepip fails or is unavailable, you can download and run the PIP installation script manually using cURL. This method works on any Windows system with internet access.
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
This downloads the installation script and saves it as get-pip.py in your current directory.
py get-pip.py
Python executes the script and installs PIP on your system.
After installing PIP, you need to confirm it works correctly and check which version was installed.
pip --version
If PIP is installed correctly, you will see the version number and the Python version it is associated with. You can now install Python packages using commands like pip install package-name.
You have installed PIP on your Windows system and verified it works correctly. You can now install, update and remove Python packages from the command line, which speeds up development and makes dependency management straightforward.
If you need to install packages for a specific project, consider using Python virtual environments this helps keep dependencies isolated and secure. Our VPS hosting gives you full control over your Python environment.
If you run into any trouble, get in touch and our team will be happy to help.
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