Jupyter Notebooks
Jupyter Notebooks are interactive web applications that allow you to create and share documents containing live code, text, visualizations, and other computational outputs. They are a popular tool for data science, programming, and data exploration due to their ability to combine code, documentation, and visualizations in a single, easily shareable format.
Key Features and Benefits:
- Interactive Computing: Jupyter Notebooks enable you to execute code cells in any order, experiment with code snippets, and see the results immediately.
- Rich Text and Markdown: You can embed explanatory text, mathematical notation, and other formatted content using Markdown and LaTeX within your notebooks.
- Visualizations: Jupyter Notebooks support the inclusion of charts, plots, images, and other visualizations directly within the document.
- Code Sharing: You can easily share your notebooks with others using email, cloud storage, or version control systems like GitHub.
- Reproducibility: The combination of code, data, and outputs in a single document makes it easy to reproduce your work and share it with others.
How it Works: Jupyter Notebooks use a client-server architecture where a browser-based interface connects to a kernel that executes the code. The kernel is responsible for executing the code and returning the results to the notebook.
In essence, Jupyter Notebooks are a powerful tool for:
- Data Science and Analytics: Exploring, visualizing, and analyzing data.
- Code Documentation: Explaining the logic and intent behind your code.
- Education and Learning: Teaching and demonstrating programming concepts.
- Collaboration: Sharing your work with others in a clear and organized way.
You have at least two options to run a Jupyter Notebook:
- Online: Google Colab
- Local installation: Anaconda miniconda
Created: 04/29/2025 (C. Lizárraga)
Updated: 04/29/2025 (C. Lizárraga)
DataLab, Data Science Institute, University of Arizona.
2025.