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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Effective techniques for data visualization with Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788625173
Length 300 pages
Edition 2nd Edition
Languages
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Authors (3):
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Claire Chung Claire Chung
Author Profile Icon Claire Chung
Claire Chung
Aldrin Yim Aldrin Yim
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Aldrin Yim
Allen Yu Allen Yu
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Allen Yu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Matplotlib 2. Getting Started with Matplotlib FREE CHAPTER 3. Decorating Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+3 6. Embedding Matplotlib in Qt 5 7. Embedding Matplotlib in wxWidgets Using wxPython 8. Integrating Matplotlib with Web Applications 9. Matplotlib in the Real World 10. Integrating Data Visualization into the Workflow

More about Django


Django is a popular web framework that is designed to simplify the development and deployment of web applications. It includes loads of boilerplate code for everyday tasks, such as database model management, frontend templating, session authentication, and security. Django was built around the Model-Template-View (MTV) design pattern.

The model is perhaps the most critical component of MTV. It refers to how you represent your data in terms of different tables and attributes. It also abstracts away the nitty-gritty details of different database engines such that the same model can be applied to SQLite, MySQL, and PostgreSQL. Meanwhile, the model layer of Django would expose engine-specific parameters, such as ArrayField and JSONField in PostgreSQL, for fine-tuning of your data representation.

The template is similar to the role of a view in the canonical MTV framework. It handles the presentation of data to the users. In other words, it doesn't handle the logic of how the...

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