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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

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788839440

Length 238 pages

Edition 1st Edition

Languages

JavaScript

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Toomey

View More author details

Table of Contents (17) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

1. Installation and Setting up the Environment FREE CHAPTER

2. Adding an Engine

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

Index

Converting Notebooks to Latex

Latex is a typesetting system that has been in use for some time. It is widely used for scholastic papers.

How to do it...

We can download a Latex version of the Notebook from the File Download menu. There will be a resulting .zip file downloaded to your machine. The filename will be the name of your Notebook, in this case, B09656_07+r+iris+for+conversions. The .zip file contains:

B09656_07+r+iris+for+conversions.tex: The Latex file
output_2_0.png: The corresponding graphic

How it works...

There are many Latex viewers (and editors) available. The display of my downloaded Latex file looks like:

I think it looks very much like one of the papers you might see published by a college.

The plot graphic .png is also included; it looks as shown earlier.

The underlying code is very specific to Latex. I don't imagine anyone would normally work directly with Latex, but they would use a graphical editor that generates Latex to develop pages:

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Authors (1)

Toomey

Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.

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