JupyterLab
Build shareable documents with code, text, and rich visualizations. Use a flexible, extensible, and feature-rich environment for interactive data science.
JupyterLab provides a comprehensive, web-based interactive development environment for notebooks, code, and data. It allows you to create and share documents that combine live code, equations, narrative text, and rich visualizations. This integrated approach makes it an ideal tool for data exploration, prototyping, and collaborative scientific computing.
As a core part of Project Jupyter, it offers a more advanced and feature-rich experience compared to the classic Jupyter Notebook. Its flexible interface supports multiple windows, tabs, and splitters, allowing you to arrange your workspace to suit your workflow. The entire environment is designed to be highly extensible and customizable, enabling you to tailor it with a wide range of extensions.
Key capabilities include:
- Combining code, plain language descriptions, and rich visualizations in a single document.
- A modular interface that you can arrange into custom layouts.
- Support for a vast ecosystem of extensions to add new functionality.
- Working with numerous programming languages through different kernels.
Directory Structure
docker-compose.yml
services:
jupyter:
image: jupyter/datascience-notebook:latest
container_name: jupyter
ports:
- "8888:8888"
volumes:
- ./work:/home/jovyan/work
environment:
- JUPYTER_TOKEN=${JUPYTER_TOKEN}
restart: unless-stopped.env
JUPYTER_TOKEN=your_secure_token_hereTags:
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