JupyterLab

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User guide

JupyterLab Homepage

Overview

JupyterLab is an interactive development environment used to create, run, and manage computational work, mainly in Python.

It provides access to notebooks, terminals, and files through a web interface.

Getting Started

1. Access the JupyterLab web interface or install it locally
2. Log in to the neurethic server if required
3. Navigate the file system using the interface
4. Open or create notebooks and other files
5. Select the appropriate kernel and start working

Key Concepts

• Workspace: The interface where you organize notebooks, files, and tools.
• Notebook integration: JupyterLab allows you to create and edit notebook files (.ipynb).
• Kernel: The engine that executes code (e.g., Python).
• Remote server: A machine that runs computations remotely.
• File browser: Interface to manage project files and directories.

A Jupyter Notebook inside JupyterLab

Main Uses

• Access and use remote computing resources
• Create and manage Jupyter Notebooks
• Run Python scripts and analyses
• Organize project files and workflows

Why It Matters

• Provides a unified environment for development and computation
• Enables the use of powerful remote machines
• Centralizes files, notebooks, and tools in one interface
• Supports reproducible and organized workflows

When You Will Use It

• Accessing the lab’s computational resources
• Creating or editing notebooks
• Running data analysis or heavy computations
• Managing project files remotely

Good Practices

• Keep files and folders well organized
• Use clear naming conventions for notebooks and scripts
• Shut down unused kernels to free resources
• Regularly save your work

Tutorials

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