JupyterLab, the latest iteration of the Jupyter Notebook, is a versatile tool for sharing code in an easily understandable format.

JupyterLab, the latest iteration of the Jupyter Notebook, is a versatile tool for sharing code in an easily understandable format.

Hundreds of thousands of people around the world use Jupyter Notebooks or variations of the Notebook architecture for any or all of the following

teaching
presentations
learning a computer language
numerical simulations
statistical modeling
data visualization
machine learning
and much more!
Jupyter Notebooks can be emailed, put on GitHub, or run online. You may also add HTML, images, Markdown, videos, LaTeX, and custom MIME types to your Notebooks. Finally, Jupyter Notebooks support big data integration.

JupyterLab 101 will get you up to speed on the newest user interface for Jupyter Notebooks and the other tools that JupyterLab supports. You now have a tabbed interface that you can use to edit multiple Notebooks at once.

Notebooks, open terminals in your browser, create a Python REPL, and more. JupyterLab also includes a debugger utility to help you figure out your coding issues.

Rest assured, JupyterLab supports all the same programming languages as Jupyter Notebook. The main difference lies in the user interface, which this guide will help you navigate effectively and efficiently.

After reading JupyterLab 101, you will be an expert in JupyterLab and produce quality Notebooks quickly!

�� What You'll Learn
In this book, you will learn how about the following

Installation and setup of JupyterLab
The JupyterLab user interface
Creating a Notebook
Markdown in Notebooks
Menus in JupyterLab
Launching Other Applications (console, terminal, text files, etc)
Distributing and Exporting Notebooks
Debugging in JupyterLab
Testing your notebooks