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Matplotlib for Python Developers

Matplotlib for Python Developers - Second Edition

By : Aldrin Yim, Claire Chung, Allen Yu
2 (2)
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Matplotlib for Python Developers

Matplotlib for Python Developers

2 (2)
By: Aldrin Yim, Claire Chung, Allen Yu

Overview of this book

Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.
Table of Contents (11 chapters)
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Getting started


Recall the MNIST dataset we briefly touched upon in Chapter 04Advanced Matplotlib. It contains 70,000 images of handwritten digits, often used in data mining tutorials as Machine Learning 101. We will continue using a similar image dataset of handwritten digits for our project in this chapter.

We are almost certain that you had already heard about the popular keywords—deep learning or machine learning in general—before starting with this course. That's why we are choosing it as our showcase. As detailed concepts in machine learning, such as hyperparameter tuning to optimize performance, are beyond the scope of this book, we will not go into them. But we will cover the model training part in a cookbook style. We will focus on how visualization helps our workflow. For those of you interested in the details of machine learning, we recommend exploring further resources that are largely available online.

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Matplotlib for Python Developers
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