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About the Book

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

About the Author

Michael Driscoll

@driscollis

Michael has been programming with Python since 2006. He is the author of the popular Python blog, The Mouse Vs. the Python. Michael has been a technical reviewer for Packt Publishing and No Starch Press.  He is also a contributor on Real Python.

He also co-authored The Essential Core Python Cheat Sheet for DZone.

Michael released his first book, Python 101, June 3rd, 2014. He wrote the follow up, Python 201: Intermediate Python and published it in the summer of 2016. He is also the author of wxPython Cookbook from Apress as well as Python Interviews from Packt Publishing.

Michael is currently working on some new books as well.