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
Contributors
Preface
Index

Installing Jupyter on Linux


Linux is one of the easier installations for Jupyter. Linux has all the tools required to update Jupyter going forward. For Linux, we use similar commands to those shown earlier to install on the Mac from the command line. 

How to do it...

Linux is a very common platform for most programming tasks. Many of the tools used in programming have been developed on Linux and later ported to other operating systems, such as Windows.

Note

We are using Anaconda to install on Linux, but the graphical interface is not available.

The script to install Jupyter on Linux via the command line with the Python 3 engine is:

bash ~/Downloads/Anaconda3-5.0.0.1-Linux-x86_64.sh

Similarly, the command to install with the Python 2 engine is:

bash ~/Downloads/Anaconda2-5.0.0.1-Linux-x86_64.sh

In either case, you will be prompted by some regular install questions:

  • Review and agree to the license agreement
  • Specify whether the standard install directory is OK (if not, you can specify where to install the software)
  • Specify whether to prepend the Anaconda location in your user path (Anaconda recommends this step)

And, as shown earlier under specify Windows and Mac installation sections, you can have the Python 2 and Python 3 engines available using similar steps.

At this point, you should be able to start Anaconda Navigator with the command line:

anaconda-navigator

Or you can run Jupyter directly using the regular command line:

jupyter notebook