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Mastering matplotlib

You're reading from  Mastering matplotlib

Product type Book
Published in Jun 2015
Publisher
ISBN-13 9781783987542
Pages 292 pages
Edition 1st Edition
Languages
Authors (2):
Duncan M. McGreggor Duncan M. McGreggor
Profile icon Duncan M. McGreggor
Duncan M McGreggor Duncan M McGreggor
Profile icon Duncan M McGreggor
View More author details

Table of Contents (16) Chapters

Mastering matplotlib
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Up to Speed 2. The matplotlib Architecture 3. matplotlib APIs and Integrations 4. Event Handling and Interactive Plots 5. High-level Plotting and Data Analysis 6. Customization and Configuration 7. Deploying matplotlib in Cloud Environments 8. matplotlib and Big Data 9. Clustering for matplotlib Index

The backend layer


Seasoned computer scientists, engineers, and software developers all know that one of the subtler and trickier problems that arise in our industry is naming. It sounds a bit silly and it is repeatedly the subject of jokes, but the difficulty remains—how do you speak or write explicitly on a subject whose very nature requires exquisite precision and yet has great ambiguity that arises in different contexts?

We have the same problem with the term backend. Here, as in so many other instances, the context is everything. Our context is matplotlib, a set of tools, and a framework where everything is done in support of the visualizing of data and their relationships. The term backend has to be viewed from this perspective to support the generation of plots. The matplotlib backend has nothing to do with other noteworthy backends such as databases, servers, messaging systems, or dispatchers of various sorts. The backend of matplotlib is an abstraction layer over various components...

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