web2bigtable uv-pip-install
Install and manage Python packages in the uv-managed virtual environment.
Quick start
# Install a package
uv pip install requests
# Install multiple packages
uv pip install pandas numpy matplotlib
# Install with extras
uv pip install httpx[http2]
# Check if a package is installed
uv pip show python-docx
# List all installed packages
uv pip list
When to use
- Python import fails with
ModuleNotFoundError - User asks to install a Python package
- A script requires dependencies that are not installed
Common module-to-package mappings
| Import name | Package name |
|---|---|
| cv2 | opencv-python |
| PIL | pillow |
| sklearn | scikit-learn |
| yaml | pyyaml |
| docx | python-docx |
| bs4 | beautifulsoup4 |
| dotenv | python-dotenv |
Workflow
- If an import error occurs, extract the module name.
- Map module name to package name if different (see table above).
- Check if already installed:
uv pip show <package> - If not installed:
uv pip install <package>
Notes
- Always run from the project directory so the correct
.venvis used. - Use
uv pip(not plainpip) to ensure packages go into the uv-managed environment.