VS Code Notebooks: Interactive Programming on Your Computer

Installing the Requirements
Creating a Notebook in VS Code

⚡ Key Differences between VS Code Notebooks and Google Colab

📌 What is a Notebook in VS Code?

A VS Code Notebook is a special type of file (.ipynb) that allows you to run code in cells, similar to Jupyter Notebook or Google Colab. The main difference is that everything runs on your own computer, meaning you have full control over resources and execution time.

✅ Advantages of using notebooks in VS Code:

You can run code in individual cells without running the entire script.
You don't depend on the internet or Google Colab.
You can use all the power of your computer (more RAM, CPU, and GPU if you have one).
It integrates with Python and Jupyter extensions in VS Code.

How to Use Notebooks in VS Code?

Installing the Requirements

To use notebooks in VS Code, you need to install some tools:

Install VS Code. Download it from https://code.visualstudio.com/
Install the Python Extension

Open VS Code
Go to the Extensions tab (Ctrl + Shift + X)
Search for Python and install it.

Install Jupyter in Python

If you don't have it installed, open a terminal in VS Code and run:
```
1pip install jupyter
```

Creating a Notebook in VS Code

Open VS Code.
Go to File > New File and save the file with the .ipynb extension.
You will see an environment similar to Jupyter with code cells.
Write code in a cell and run it with the ▶️ button or by pressing Shift + Enter.

Basic Example in VS Code Notebooks

Cell 1: Import Libraries
```
1import math
```
Cell 2: Use the imported library
```
1print(math.sqrt(36))  # Output: 6.0
```

💡 Remember: Just like in Jupyter or Colab, cells share memory, so you can define a variable in one cell and use it in another.

⚡ Key Differences between VS Code Notebooks and Google Colab

Feature	VS Code Notebooks 🖥	Google Colab ☁️
Location	Local computer	Google Cloud
Resources	Unlimited, depends on your PC	Limited
Internet Connection	Not necessary	Necessary
GPU Access	If you have a GPU, you can use it with CUDA	Depends on availability
Execution Time	Unlimited	Can disconnect

VS Code Notebooks give you more control over your resources and do not have the limitations of the cloud. If you work on large projects or need more power, it is a better option than Google Colab.