Configure Conda env in VsCode

🔒 You must be logged in as an Administrator or Editor to listen to this audio.

Configuring your Conda environment in VS Code is a quick process, and using the built-in Python extension makes it incredibly seamless. Since your paths (/Users/joseph/...) indicate you are on macOS, the instructions below include Mac shortcuts.

Here is exactly how to set up your environment so that VS Code uses your py3119 Conda environment.

Method 1: Using the Command Palette (Recommended)

This is the fastest and most common way to switch your Python environment on the fly.

  1. Open your project in VS Code.
  2. Open the Command Palette by pressing Cmd + Shift + P (or go to View > Command Palette in the top menu).
  3. Type Python: Select Interpreter and select it from the dropdown list.
  4. Choose your Conda environment:
    • A list of discovered Python environments will appear. Look for the one labeled py3119 (it usually says something like Python 3.11.x ('py3119': conda)). Click it.
    • If it doesn't show up automatically: Click on Enter interpreter path..., then select Find... and navigate to, or paste, the exact path to the Python executable inside your Conda environment: 
      /Users/joseph/anaconda3/envs/py3119/bin/python
  5. Verify: Look at the very bottom-right corner of your VS Code window in the Status Bar. You should now see 3.11.x ('py3119': conda). Hovering over it will show the path.

Method 2: Setting it in your Workspace Settings

If you want to ensure that this specific project always uses the py3119 environment every time you open it, you can hardcode the path into your workspace settings.

  1. At the root of your project folder, create a folder named .vscode (if it doesn't already exist).
  2. Inside that folder, create a file named settings.json.
  3. Add the following configuration to point VS Code directly to your Conda environment:
{
    "python.defaultInterpreterPath": "/Users/joseph/anaconda3/envs/py3119/bin/python"
}

Troubleshooting Tips

  • Integrated Terminal: Once you select the interpreter, any new terminal you open in VS Code (Terminal > New Terminal) should automatically activate that Conda environment (you will see (py3119) at the start of your terminal prompt). If it doesn't, you may need to run conda init zsh (or bash) in your terminal and restart VS Code.
  • Jupyter Notebooks: If you are using .ipynb files, selecting the interpreter doesn't automatically change the Jupyter kernel. You will need to click the Kernel button in the top right corner of the notebook and select your py3119 environment from there as well.