JupyterLab 101
JupyterLab 101
Learn the Latest Iteration of Jupyter Notebook
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
Table of Contents
- Acknowledgments
- Introduction
- Audience
- About the Author
- Conventions
- Book Source Code
- Reader Feedback
- Errata
- Chapter 1 - Installing and Setting up JupyterLab
- Installing with Anaconda
- Installing with pip
- Using a Python Virtual Environment
- Verify the Installation
- Supported Browsers
- Wrapping Up
- Chapter 2 - The JupyterLab User Interface
- Learning About the Launcher
- Working in the Main Work Area
- Using the Sidebars
- Searching Your Workspace
- Using Context Menus
- Keyboard Shortcuts
- Wrapping Up
- Chapter 3 - Creating a Notebook
- Creating a Notebook
- Naming Your Notebook
- Notebook Cells
- Running Code Cells
- Wrapping Up
- Chapter 4 - Markdown in Notebooks
- Headers
- Styling Text
- Lists (Bullets)
- Hyperlinks
- Images
- Code and Syntax Highlighting
- Wrapping Up
- Chapter 5 - The Menus of JupyterLab
- The File Menu
- The Edit Menu
- The View Menu
- The Run Menu
- The Kernel Menu
- The Tabs Menu
- The Settings Menu
- The Help Menu
- Wrapping Up
- Chapter 6 - Launching Other Applications
- Console
- Terminal
- Text File
- Markdown File
- Python File
- Wrapping Up
- Chapter 7 - Distributing and Exporting Notebooks
- Using GitHub
- The Binder Project
- Google Colab
- Microsoft Azure Notebooks
- Exporting Notebooks in Other Formats
- Wrapping Up
- Chapter 8 - Debugging in JupyterLab
- JupyterLab’s Debugger
- The
pdbModule
- IPython’s Debugger
- Wrapping Up
- Chapter 9 - Testing
- Execute and Check
- The py.test Plugin - nbval
- Using
unittestin a Notebook
- Wrapping Up
- Afterword
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