Using Jupyter Notebook in Python: An Interactive Computing Environment
Jupyter Notebook is a powerful tool for interactively developing and presenting data science projects. It is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. In this article, we’ll explore the features of Jupyter Notebook and how to use it in your Python projects.
Table of Contents
- Introduction
- Installation
- Launching Jupyter Notebook
- Notebook Interface
- Working with Cells
- Markdown Cells
- Code Cells
- Magics
- Plotting and Visualization
- Sharing Notebooks
- Conclusion
1. Introduction
Jupyter Notebook is a part of the larger Jupyter Project which was created to support interactive data science and scientific computing across various programming languages. The name “Jupyter” is a combination of three core programming languages: Julia, Python, and R. However, Jupyter Notebook supports many other languages as well.
