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_posts/2024-01-07-jupyternotebook.md

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+---
+layout: post
+title: "Jupyter Power in VS Code"
+author: "Richa"
+---
+
+I recently came across the functionalities offered by the [Jupyter extension](https://code.visualstudio.com/docs/datascience/jupyter-notebooks) within Visual Studio Code, and I must say, it's been a game-changer in my development toolkit. The Jupyter extension seamlessly integrates the notebook environment directly into the VS Code interface, allowing users to create, edit, and run Jupyter Notebooks effortlessly.
+
+### What are Jupyter Extensions?
+
+Jupyter extensions are add-ons that extend the capabilities of Jupyter notebooks within VS Code. They offer a range of features, from simplifying code formatting to enabling interactive visualizations and customizing the notebook interface.
+
+### Setting Up Jupyter Notebooks in VS Code
+
+To get started with Jupyter extensions in Visual Studio Code, it's important to set up a Jupyter notebook file. 
+Follow these steps:
+
+- Navigate to the File menu and select "New File" (or use the shortcut Ctrl + N / Cmd + N).
+- Save the file with the extension .ipynb (e.g., example_notebook.ipynb).
+
+**Structure of Jupyter Notebooks**
+
+Jupyter notebooks consist of cells that can contain either Markdown text or code. Here's how to create and run cells in your notebook:
+
+- Markdown Cells: To create a Markdown cell, select the "+" button in the toolbar and choose "Markdown."
+- Code Cells: For code cells, select the "+" button and choose "Code." Enter your Python code in these cells.
+
+**Running Cells**
+
+- To run a Markdown cell, simply write your text and proceed to the next cell.
+- To run a code cell, input your Python code and press Shift + Enter to execute it.
+
+Now that our Jupyter notebook is ready, let's explore the capabilities of Jupyter extensions within Visual Studio Code.
+
+### Exploring Jupyter Extensions: Examples
+
+- **Interactive Charts with matplotlib**
+
+The matplotlib extension allows you to create visualizations directly within Jupyter notebooks in VS Code. Below is an example of a line plot using matplotlib:
+
+```
+import matplotlib.pyplot as plt
+
+# Sample data
+x = [1, 2, 3, 4, 5]
+y = [10, 15, 13, 18, 20]
+
+# Create a line plot
+plt.plot(x, y)
+plt.xlabel('X-axis')
+plt.ylabel('Y-axis')
+plt.title('Line Plot')
+plt.show()
+```
+
+Result:
+
+![example mage](https://raw.githubusercontent.com/14Richa/testga/main/jupyternotebookresult.png)
+
+
+Find a comprehensive demonstration of Jupyter notebook extensions in action within the project repository: [Patient-Readmission-Analysis](https://github.com/14Richa/Patient-Readmission-Analysis), showcasing the practical utilization of these extensions in real healthcare data analysis.