Python Virtual Environment in VS Code: Complete Setup for .ipynb Files (Step-by-Step)
Struggling to get your Python code to run in VS Code? 🐍 Tired of the "ipykernel not found" error when using .ipynb files? In this video, I walk you through the complete setup for a perfect Python environment in VS Code!
We’ll cover everything you need to know:
Why Virtual Environments? I explain why it's a best practice and how it prevents dependency conflicts.
Creating the Environment: The exact python -m venv command you need to run.
Activation: Activating the environment on Windows vs Mac/Linux (and fixing the "running scripts is disabled" error on Windows).
Installing ipykernel: Installing the crucial package to make your virtual environment work with Jupyter notebooks in VS Code.
VS Code Integration: Selecting the correct interpreter and ensuring VS Code recognizes your environment for .ipynb files.
By the end of this video, you will have VS Code ready to go and your Python projects will be properly organized.
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