📚 Jupyter Notebook Tutorial Guide

Welcome to the Jupyter Notebook Tutorial! This guide will walk you through setting up and using Jupyter Notebook for data analysis, coding, and interactive computing. 🧠💻

🧰 What is Jupyter Notebook?

Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's widely used in data science, machine learning, and education.

Jupyter_Notebook_Interface

🛠 Installation Steps

1. Install Python
   Download Python here (ensure Python 3.7+ is installed).

2. Install Jupyter Notebook
   Run the following command in your terminal:

   pip install jupyter
   

3. Launch Jupyter Notebook
   Type jupyter notebook in your terminal and press Enter. 🚀

📝 Basic Usage

• Create a New Notebook: Click New > Python 3 to start a fresh document.
• Write Code: Use code cells (💻) for executing Python scripts.
• Add Text: Use markdown cells (📝) to explain your work.
• Run Cells: Press Shift + Enter to execute the current cell.

🧪 Example: Simple Python Code

# This is a code cell
print("Hello, Jupyter!")  # Output: Hello, Jupyter!

Python_Code_Execution

🌐 Further Resources

• Jupyter Notebook Official Documentation for advanced features.
• Data Science with Python to explore more tools.

💡 Tips for Beginners

• Use %matplotlib inline to display plots directly in your notebook.
• Save your work frequently with File > Save and Checkpoint.
• Explore kernels for other languages like R or Julia! 🌟

Let me know if you need help with specific features or projects! 🙋‍♂️📝