Book Image

Jupyter Cookbook

By : Dan Toomey
Book Image

Jupyter Cookbook

By: Dan Toomey

Overview of this book

Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications. The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks, such as Python, R, Julia, JavaScript, Scala, and Spark on your Jupyter Notebook. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in real time, sharing your code, creating a multi-user environment, and organizing your notebook. You will then get hands-on experience with Jupyter Labs, microservices, and deploying them on the web. By the end of this book, you will have taken your knowledge of Jupyter to the next level to perform all key tasks associated with it.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell

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...