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Book Cover
E-book
Author Richman, Lindsay

Title JupyterLab Quick Start Guide : A Beginner's Guide to the Next-Gen, Web-based Interactive Computing Environment for Data Science
Published Birmingham : Packt Publishing, Limited, 2019
Online access available from:
ProQuest Ebook Central    View Resource Record  

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Description 1 online resource (157 p.)
Contents Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Preface -- Table of Contents -- Chapter 1: Introducing JupyterLab -- Installing JupyterLab with Anaconda Distribution -- Exploring JupyterLab's main features -- Creating a notebook within JupyterLab -- Optional -- downloading a text editor -- Viewing a Jupyter notebook file in a text editor -- Optional -- creating a GitHub account -- Summary -- Chapter 2: Exploring the JupyterLab Interface -- Customizing JupyterLab's interface -- Customizing your display -- Changing your theme -- Working with the left sidebar
Cloning an extension template -- Personalizing the template -- Checking the setup -- Building the extension -- Ensuring the extension is installed -- Developing the extension -- Summary -- Chapter 4: Data Exploration Within JupyterLab -- Overview of some common extensions -- Implementing a TOC in a notebook -- Installing the extension -- Viewing the TOC -- Navigating the TOC -- Displaying extra information in the TOC -- Using the commenting extension -- Installing the extension -- Creating, replying, and resolving comment threads -- Building interactive widgets to explore data
Installing the extension -- Widgets -- Interactive -- Summary -- Chapter 5: Sharing and Presenting Your Work -- Exporting content into different formats -- Export options -- Displaying HTML files without code -- Using nteract to share and publish notebooks -- Working with notebooks in nteract -- Saving nteract notebooks as PDFs -- Adding page breaks to PDFs -- Publishing nteract notebooks as Gists -- Turning notebooks into presentations -- Creating reports for machine learning -- Creating a report in Weights and Biases -- Summary -- Using JupyterLab with Teams
The Files icon -- The Running icon -- Shutting down running processes -- The Commands icon -- The Tabs icon -- Exploring the menu bar -- The Edit menu -- The View menu -- The Run menu -- The Kernel menu -- The Tabs menu -- The Settings menu -- Using the Code Console and Terminal -- Tab completion -- Tooltips -- Console context menu -- Using the Terminal -- Changing themes -- Using notebook commands -- Magic functions -- Mapping keys from a text editor -- Text editor themes -- Adding kernels to the main work area -- Creating kernels for additional languages -- Creating additional Python kernels
Summary Chapter 3: Managing and Building Extensions -- Managing extensions -- Installing node.js -- Using JupyterLab's extension manager -- Searching for extensions -- Installing extensions -- Managing extensions -- Using the command line -- Searching for extensions -- Installing public extensions -- Installing local extensions -- Managing extensions -- Knowing the useful extensions -- ipywidgets @jupyterlab-manager -- Matplotlib jupyter-matplotlib -- Plotly -- Other useful extensions -- Developing extensions -- Setting up your development environment -- Creating an extension project
Jupyterlab is a web-based data science interface and natural evolution of Jupyter Notebooks. This guide will take you through the core commands and functionalities of JupyterLab. You will learn to customize and enhance your JupyterLab productivity by installing additional extensions
Notes Creating the JupyterLab GitHub extension
Description based upon print version of record
Subject Big data
Data mining
Electronic data processing
Science -- Data processing
Web services
Big data.
Data mining.
Electronic data processing.
Science -- Data processing.
Web services.
Form Electronic book
Author Banfield, Wesley
Ferrari, Melissa
Oladokun, Joseph
Toomey, Dan.
ISBN 1789807565
9781789807561