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Matplotlib for Python Developers. - Second Edition

You're reading from  Matplotlib for Python Developers. - Second Edition

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788625173
Pages 300 pages
Edition 2nd Edition
Languages
Authors (3):
Aldrin Yim Aldrin Yim
Profile icon Aldrin Yim
Claire Chung Claire Chung
Profile icon Claire Chung
Allen Yu Allen Yu
Profile icon Allen Yu
View More author details

Table of Contents (16) Chapters

Title Page
Dedication
Packt Upsell
Contributors
Preface
Introduction to Matplotlib Getting Started with Matplotlib Decorating Graphs with Plot Styles and Types Advanced Matplotlib Embedding Matplotlib in GTK+3 Embedding Matplotlib in Qt 5 Embedding Matplotlib in wxWidgets Using wxPython Integrating Matplotlib with Web Applications Matplotlib in the Real World Integrating Data Visualization into the Workflow Index

Installing Docker


Docker allows developers to run applications in self-contained and lightweight containers. Since its introduction in 2013, Docker has quickly gained popularity among developers. At the center of its technology, Docker uses the resource isolation methods of the Linux kernel instead of a full-blown virtualization hypervisor to run applications.

This enables easier development, packaging, deployment, and management of code. Therefore, all code development work in this chapter will be conducted using a Docker-based environment.

Docker for Windows users

There are two ways to install Docker on Windows: the aptly named Docker for Windows package, and Docker Toolbox. I recommend stable versions of the Docker Toolbox because Docker for Windows requires Hyper-V support in 64-bit Windows 10 Pro. Meanwhile, Docker for Windows is not supported by older versions of Windows. Detailed installation instructions can be found at https://docs.docker.com/toolbox/toolbox_install_windows/, but we...

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