Jupyter Notebook

A Jupyter Notebook showing a code cell and its output

User Guide

Overview

Jupyter Notebooks are interactive files used within environments like JupyterLab to write, execute, and document code.

They allow users to combine Python code, text explanations, and outputs (such as figures or tables) in a single document.

Getting Started

1. Open JupyterLab or a compatible environment
2. Create a new notebook (.ipynb file)
3. Add code and Markdown cells
4. Execute cells step by step
5. Save and share the notebook

Key Concepts

• Notebook (.ipynb): A file containing code, text, and outputs.
• Cell: A unit of content within a notebook.
• Code cell: Executes Python code through the kernel.
• Markdown cell: Contains formatted text for explanations.
• Execution order: Cells are run one at a time and may depend on previous results.

Main Uses

• Write and test Python code interactively
• Document experiments with explanations and results
• Visualize data directly within the notebook
• Share analysis in a reproducible format

A Jupyter Notebook inside JupyterLab

Why It Matters

• Combines code and documentation in a single file
• Makes results easier to understand and reproduce
• Supports iterative and exploratory workflows
• Facilitates collaboration and knowledge sharing

When You Will Use It

• Performing data analysis
• Prototyping algorithms or workflows
• Writing experiment reports with code and results
• Sharing work with other team members

Good Practices

• Structure notebooks with clear sections and titles
• Use Markdown cells to explain your reasoning
• Run cells in order to ensure consistency
• Keep notebooks clean and readable

Tutorials

• Jupyter Notebook Complete Beginner Guide - From Jupyter to JupyterLab, Google Colab and Kaggle!