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Jupyter Cookbook

You're reading from   Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 pages
Edition 1st Edition
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installation and Setting up the Environment 2. Adding an Engine FREE CHAPTER 3. Accessing and Retrieving Data 4. Visualizing Your Analytics 5. Working with Widgets 6. Jupyter Dashboards 7. Sharing Your Code 8. Multiuser Jupyter 9. Interacting with Big Data 10. Jupyter Security 11. Jupyter Labs

JupyterLab display


We can see several points of interest in the display:

  • We are running JupyterLab versus Jupyter
  • The code is installed as part of Anaconda
  • New information: 0 active kernels, so we have the idea of multiple kernels running simultaneously
  • We see the URL to use if we want to use token authentication (as described in the previous chapter)
  • Then, there are several invocation lines as I moved around to different Notebooks in the system

How to do it...

  1. Now for something completely different: the JupyterLab display. Once the application starts, we open a new browser window, shown as follows:
  1. The initial display (which is configurable) looks very different to Jupyter, as shown in the preceding screenshot.
  2. We have the screen split in two (this can be configured for more).
  3. The left panel is the familiar directory display we have seen before. Note that we are seeing filenames rather than the titles applied to the Notebooks.
  4. The right panel (also known as Launcher) is broken up into three sections...
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