myenv = id0

Setting up a virtual environment in Visual Studio Code (VS Code) for Jupyter Notebooks ensures an isolated Python environment for your project. Follow these steps to create and configure it:

Step 1: Install the Python Extension

Open VS Code.

• Go to the Extensions view (Ctrl+Shift+X or Cmd+Shift+X on Mac).
• Search for Python and install the official extension.

Step 2: Create a Virtual Environment

• Open the terminal in VS Code (Ctrl+).
• Navigate to your project directory:
• cd /path/to/your/project
• Create a virtual environment:
• python -m venv myenv

Step 3: Activate the Virtual Environment

• Windows:
• myenv\Scripts\activate
• Mac/Linux:
• source myenv/bin/activate
• You should see the virtual environment name in your terminal prompt.
• You might have to remove PS limitations
• Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned

Step 4: Install Jupyter Notebook

• With the virtual environment activated, install Jupyter:
• pip install jupyter ipykernel

Step 5: Nake venv easily available to Python and Jupyter

• Ctrl-P => Preferences: Open User Settings (JSON)
• "python.venvPath": "python.venvPath": "C:\\MyApps\\vscode\\envs",

Step 6: Configure VS Code to Use the Virtual Environment

• Open the Command Palette (Ctrl+Shift+P or Cmd+Shift+P on Mac).
• Select Python: Select Interpreter.
• Choose the interpreter from your virtual environment (e.g., /path/to/myenv/bin/python).

Step 7: Select Kernel in Jupyter Notebook

• Open or create a .ipynb file in VS Code.
• Click on the kernel picker in the top-right corner of the notebook editor.
• Select the kernel associated with your virtual environment.

Step 8: checks

• VSC Terminal
• Get-Command python
• Jupyter Notebook

import os
print(os.environ.get('VIRTUAL_ENV'))
import sys
print(sys.prefix)

Step 9: Git

• Install Git
• Install "GitHub Pull Requests" extension in VSC

Step 10: Reqquirements

• Your cloned Git repo contains a requirement.txt file
• Within the virt-env => pip install -r requirements.txt

By following these steps, you can ensure that your Jupyter Notebook runs within an isolated and properly configured Python environment in VS Code