Jupyter

Jupyter provides the standard interactive computing architecture for data science and machine learning, featuring reproducible notebook workflows, interactive widgets, and polyglot kernels.

When to Use

• Exploratory Data Analysis (EDA): Interactive data investigation, statistical analysis, and visual storytelling.
• Machine Learning Experimentation: Rapidly prototyping model architectures, training loops, and loss visualizations.
• Interactive Technical Reports & Teaching: Combining executable Python/R/Julia code, rich Markdown, LaTeX, and charts.
• Automated Batch Notebook Execution: Executing parameterized notebooks in production pipelines with Papermill.

Quick Start

# Install and launch JupyterLab
pip install jupyterlab
jupyter lab --port 8888