docs: Update README for running notebooks (#289)

* docs: Update README for running notebooks (#286)

* Updated the python version from 3.7 to 3.10
* Provided description about running the notebook on VS Code
---------

Co-authored-by: Kori Kuzma <[email protected]>

* style: format changes

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Co-authored-by: Manish Kuniyal <[email protected]>

README.md

@@ -104,7 +104,7 @@ Here are some things to try.
 
 Once installed as described above, type
 
-    $ source venv/3.7/bin/activate
+    $ source venv/3.10/bin/activate
     $ jupyter notebook --notebook-dir notebooks/
 
 The following jupyter extensions are recommended but not required
@@ -119,6 +119,15 @@ The following jupyter extensions are recommended but not required
 
 We have created a public [`VRS-demo-notebooks`](https://app.terra.bio/#workspaces/terra-outreach/VRS-demo-notebooks) workspace in Terra that contains the demo notebooks along with instructions for running them with minimal setup. To get started, see either the [`VRS-demo-notebooks`](https://app.terra.bio/#workspaces/terra-outreach/VRS-demo-notebooks) workspace or the [`Terra.ipynb`](notebooks/Terra.ipynb) notebook in this repository.
 
+## Running the Notebooks with VS Code
+
+[VS Code](https://code.visualstudio.com/) is a code editor developed by Microsoft. It is lightweight, highly customizable, and supports a wide range of programming languages, with a robust extension system. You can download VS Code [here](https://code.visualstudio.com/Download).
+
+**1. Open VS Code**: Launch Visual Studio Code.
+**2. Install the Jupyter Extension**: Use Extensions view (Ctrl+Shift+X or ⌘+Shift+X) to install the [Jupyter extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter).
+**3. Open the Project in VS Code**: Navigate to your project folder and open it in VS Code.
+**4. Select the Jupyter Kernel**: In a notebook, click `Select Kernel` at the top right. Select the option where the path is `venv/3.10/bin/python3`. See [here](https://code.visualstudio.com/docs/datascience/jupyter-kernel-management) for more information on managing Jupyter Kernels in VS Code.
+**5. Run the Notebook**: After selecting the kernel you can now run the notebook.
 
 # Development