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Update Your Packages
"python.analysis.extraPaths": ["./.venv/lib/python3.10/site-packages"] Use code with caution. Summary Checklist Run poetry install . Set virtualenvs.in-project true for easier discovery.
Open your project in an editor. For this guide, we'll assume you're using Visual Studio Code (VSCode).
If you are a Python developer using , you’ve likely experienced the perfect storm of modern Python tooling: You start a new project using Poetry for dependency management. You create a virtual environment, install your packages, and write your code. Everything runs perfectly from the terminal.
"python.defaultInterpreterPath": "/home/user/.cache/pypoetry/virtualenvs/my-project-abc123-py3.9/bin/python"
This is the most fundamental fix. The goal is to point VS Code to the exact Python interpreter within your Poetry virtual environment.
Ensure your dependencies actually installed correctly inside the environment. Run poetry run pip list to double-check that the missing module is present in the active Poetry environment. If it is missing, run poetry add . 3. Check for Multi-Root Workspaces
Do you prefer your virtual environments or stored globally ?
Sentry notes that this helps ensure the terminal automatically activates the virtual environment. Using extraPaths
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"python.analysis.extraPaths": ["./.venv/lib/python3.10/site-packages"] Use code with caution. Summary Checklist Run poetry install . Set virtualenvs.in-project true for easier discovery.
Open your project in an editor. For this guide, we'll assume you're using Visual Studio Code (VSCode).
If you are a Python developer using , you’ve likely experienced the perfect storm of modern Python tooling: You start a new project using Poetry for dependency management. You create a virtual environment, install your packages, and write your code. Everything runs perfectly from the terminal.
"python.defaultInterpreterPath": "/home/user/.cache/pypoetry/virtualenvs/my-project-abc123-py3.9/bin/python"
This is the most fundamental fix. The goal is to point VS Code to the exact Python interpreter within your Poetry virtual environment.
Ensure your dependencies actually installed correctly inside the environment. Run poetry run pip list to double-check that the missing module is present in the active Poetry environment. If it is missing, run poetry add . 3. Check for Multi-Root Workspaces
Do you prefer your virtual environments or stored globally ?
Sentry notes that this helps ensure the terminal automatically activates the virtual environment. Using extraPaths