How to Use Pip Install in VS Code

Name: How to Install PIP in Visual Studio Code | PIP in VSCode (2024)
Uploaded: 2026-02-16
Duration: 2 min 23 s
Description: Learn how to use pip install in Visual Studio Code with the Python extension, integrated terminal, and virtual environments. This guide covers prerequisites, commands, troubleshooting, and best practices for reliable Python package management inside VS Code.

Learn how to use pip install in Visual Studio Code with the Python extension, integrated terminal, and virtual environments. This guide covers prerequisites, commands, troubleshooting, and best practices for reliable Python package management inside VS Code.

Install Manual Team

February 16, 2026·5 min read

Python Installation

Quick AnswerSteps

You will learn how to use pip install inside Visual Studio Code's integrated terminal to add Python packages to your project. Start by confirming your Python interpreter and ensuring pip is available, then install packages with pip install, manage virtual environments, and verify installations with python -m pip list or pip show. Use a requirements.txt for multiple packages.

What you will accomplish

According to Install Manual, mastering pip install inside VS Code lets you add Python libraries directly from your project workspace. This approach streamlines development by keeping dependencies in one place and reducing context switching between a terminal and your editor. In this section, you will learn how to verify your Python interpreter, set up a clean environment, and perform reliable installations that are easy to reproduce in teammates’ setups. You’ll also see how to use a requirements.txt file to manage multiple packages and how to keep your workspace portable across operating systems. A little planning here pays off with less debugging later, especially when collaborating on larger projects. By the end, you’ll be prepared to install packages, upgrade them safely, and confirm that they appear in your environment without triggering path or version conflicts.

Why this workflow matters in modern Python development

Visual Studio Code has become a popular editor for Python development due to its lightweight footprint and rich ecosystem. The Python extension adds IntelliSense, linting, debugging, and environment management, making it easier to reason about dependencies during development. Using pip install inside VS Code ties your code to a concrete set of libraries and versions, which reduces “it works on my machine” moments when teammates run the code on different setups. Based on Install Manual research, a consistent workflow that combines the Python extension with the integrated terminal helps maintain predictable environments and smoother collaboration across teams. This approach also supports advanced configurations, such as remote development containers and CI pipelines, where reproducible environments are essential.

Prerequisites and environment setup

Before you start installing packages with pip in VS Code, ensure you have a working Python setup. Install Python from python.org and add it to your system PATH if prompted. Install the Visual Studio Code editor and the official Python extension from the Marketplace. Verify that the Python interpreter selected in VS Code matches the environment you intend to use. Also, ensure that pip is installed alongside Python by running python -m ensurepip --upgrade or python -m pip --version. Finally, establish file access rights and a stable internet connection to avoid interruptions during installs.

Using the integrated terminal for pip

Open the VS Code integrated terminal (View > Terminal or Ctrl+`). Confirm the active interpreter in the bottom-left corner and select the correct one for your project. In the terminal, run python --version and python -m pip --version to verify that Python and pip are accessible. Navigate to your project directory with cd if needed. Use a clean command shell (cmd, PowerShell, or bash) based on your OS and preference, but keep consistency to avoid path confusion across environments.

Managing virtual environments with pip

Virtual environments are the recommended way to isolate dependencies per project. Create one with python -m venv env, then activate it: on Windows, env\Scripts\activate; on macOS/Linux, source env/bin/activate. When the environment is active, any pip install commands will affect only that environment. Deactivate when you’re done by typing deactivate. Using a venv prevents conflicts with system-wide packages and makes your project portable across machines.

Installing packages and handling requirements.txt

To install a single package, use pip install package-name. For multiple packages, you can list them one by one or provide a requirements.txt file and run pip install -r requirements.txt. Pin exact versions when possible to ensure reproducibility, for example package-name==1.2.3. If you need to upgrade a package, use pip install --upgrade package-name. Remember to refresh your environment after changing dependencies and re-run tests to catch issues early.

Troubleshooting common issues

Common problems include pip not being recognized, conflicts between package versions, and permission errors. If pip is not found, check your PATH or use python -m pip as a fallback. When facing dependency conflicts, consider using a fresh virtual environment and re-installing. On Unix-like systems, avoid using sudo with virtual environments; instead, ensure ownership and permissions allow installations. SSL or certificate issues can often be resolved by updating certificates or using a known-good CA bundle.

Best practices and next steps

Adopt a consistent workflow: use a dedicated virtual environment per project, maintain a requirements.txt file, and validate installations with pip show or python -m pip list. Regularly update tooling (Python, pip, and the VS Code extension) to keep security and compatibility tight. The Install Manual team recommends documenting your setup steps for teammates, automating environment creation in CI, and verifying dependencies in pull requests to prevent breakages later in development.

Tools & Materials

Visual Studio Code(Latest stable build for your OS)
Python extension for VS Code(Install from Extensions view (Ctrl+Shift+X))
Python interpreter(Install from python.org and add to PATH if needed)
Integrated terminal in VS Code(Access with Ctrl+`)
Pip (Python package installer)(Verify with python -m pip --version)
Virtual environment (optional but recommended)(Create with python -m venv env)

Steps

Estimated time: 15-25 minutes

1
Open your VS Code workspace
Launch VS Code and open the folder that contains your Python project. Confirm the workspace uses the correct Python interpreter for the project to avoid installing packages into the wrong environment.
Tip: Check the bottom-left status bar to switch or confirm the interpreter as needed.
2
Open the integrated terminal
Open the terminal from View > Terminal or with Ctrl+`. Ensure you are in the project directory and using a consistent shell (bash, PowerShell, or cmd).
Tip: If the terminal shows a different path, use cd to navigate to your project root.
3
Verify Python and pip availability
Run python --version and python -m pip --version to confirm both tools are accessible from the current environment. If not, fix PATH or switch to the correct interpreter.
Tip: If Python isn’t found, try py -3 or reinstall Python with the option Add to PATH checked.
4
Create and activate a virtual environment
If you don’t already have one, create a virtual environment with python -m venv env and activate it. This keeps project dependencies isolated.
Tip: Activate before installing packages to ensure they’re placed in the virtual environment.
5
Install a package with pip
In the terminal, run pip install package-name. For multiple packages, separate names with spaces or use a requirements.txt file.
Tip: Use --upgrade when you want to ensure the latest compatible version is installed.
6
Verify installation
Check installed packages with pip list or python -m pip list. For a specific package, use pip show package-name to view version and metadata.
Tip: Keep a snapshot of your environment with a requirements.txt for reproducibility.

Pro Tip: Use a dedicated virtual environment per project to avoid cross-project conflicts.

Warning: Do not install packages globally for active projects; prefer virtual environments.

Note: On Windows, ensure the interpreter path is correctly set in VS Code to avoid misrouting pip.

Got Questions?

What is pip and why use it in VS Code?

Pip is Python's package installer. In VS Code, you run pip commands from the integrated terminal to add libraries to your project, keeping dependencies organized within your chosen interpreter or virtual environment.

Do I need the Python extension for this workflow?

The Python extension enhances editing, linting, debugging, and interpreter management inside VS Code. While you can run pip without it, the extension makes selecting interpreters and managing environments reliable.

How do I install multiple packages at once?

You can list packages after pip install, separated by spaces, or use a requirements.txt file with pip install -r requirements.txt for reproducible setups.

What if pip isn’t recognized in the terminal?

Check that Python and pip are on your PATH or use python -m pip as a fallback. Ensure you’re using the correct interpreter for your project.

How can I use a requirements.txt file with VS Code?

Create a requirements.txt listing all dependencies with versions, then run pip install -r requirements.txt to install them all at once.

Can I use conda environments with pip in VS Code?

Yes, you can use conda environments and then install packages with pip inside those environments. Activate the conda environment first to ensure packages install correctly.