JupyterLab Quick Start Guide

More Information
  • Install JupyterLab and work with Jupyter Notebooks
  • Host JupyterLab Notebooks on GitHub and access GitHub resources in your Notebooks
  • Explore different methods for exchanging Notebooks
  • Discover ways in which multiple users can access the same Notebook
  • Publish your Notebooks with nbviewer and convert them into different formats
  • Attach and operate widgets within your Notebooks using a JupyterLab document
  • Use JupyterLab to work collaboratively with multiple data scientists in your teams

JupyterLab is a web-based interface and the natural evolution of Jupyter Notebook. This guide will take you through the core commands and functionalities of JupyterLab and help you enhance your JupyterLab productivity.

Starting with the installation of JupyterLab, this book will give you an overview of its features and the variety of problems it solves. You’ll see how you can work with external files inside the platform, and understand how to use the code console and terminal. This will help you have distinct control over the scripts you work with. As you progress, you’ll get to grips with the extensions available in JupyterLab, and gain insights into adding extensions to introduce new functionality in the interface. This book also covers widget operations within your document, different design patterns in JupyterLab, and the various methods for exchanging Notebooks. Additionally, you’ll explore how to host JupyterLab Notebooks on GitHub.

By the end of this Jupyter book, you’ll have become well-versed with all the components of JupyterLab and be able to use it collaboratively within your data science teams.

  • Manage JupyterLab kernels, code consoles, and terminals, and share your work over the cloud
  • Organize your data solutions within JupyterLab
  • Install and configure extensions on JupyterLab using easy-to-follow examples
Page Count 160
Course Length 4 hours 48 minutes
ISBN 9781789805543
Date Of Publication 20 Dec 2019


Lindsay Richman

Lindsay Richman is a product manager who has worked in products, analytics, and consulting within a variety of industries. She is passionate about the Jupyter project and JupyterLab's role in democratizing scientific computing. She has decided to donate her proceeds from this book to NumFOCUS.

Melissa Ferrari

Melissa Ferrari completed her Ph.D. in physics at New York University. Jupyter has been a pivotal tool in her research as a method for exploratory data analysis (especially with interactive widgets), prototyping data analysis pipelines, interactive modeling, and adhering to scientific reproducibility and transparency standards.

Joseph Oladokun

Joseph Oladokun is a Data Scientist at eHealth Africa in Nigeria, where he has an in-depth understanding of advanced techniques and tools needed to generate insights from data using the best practices with his experience in data analytics, engineering, and machine learning. Joseph is also a leader and mentor for various data science communities in Africa, and he is the founder of Data Science in Africa, an organization that uses the information to empower data scientists in Africa. He's also the co-lead of Africa R Users Group. Beyond his profession, Joseph is a leader who is very passionate about sharing information and ideas with others.

Wesley Banfield

Wesley Banfield is an R&D Geologist with a passion for digital innovation. He has worked in tech companies leveraging his software development skills and geological background to provide novel solutions. Throughout his career, his go-to tool for innovation has been Jupyter.

Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.