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Can I read Matplotlib for Python Developers : Effective techniques for data visualization with Python, 2nd Edition on EtoBox?

Matplotlib for Python Developers : Effective techniques for data visualization with Python, 2nd Edition by Allen Yu;Claire Chung;Aldrin Yim is a nonfiction available to read on EtoBox.

What is Matplotlib for Python Developers : Effective techniques for data visualization with Python, 2nd Edition about?

**Leverage the power of Matplotlib to visualize and understand your data more effectively** **About This Book*** Perform effective data visualization with Matplotlib and get actionable insights from your data * Design attractive graphs, charts, and 2D plots, and deploy them to the web * Get the most out of Matplotlib in this practical guide with updated code and examples **Who This Book Is For**This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you're a data scientist or analyst and wish to create attractive visualizations using Python, you'll find this book useful. Some knowledge of Python programming is all you need to get started. **What You Will Learn*** Create 2D and 3D static plots such as bar charts, heat maps, and scatter plots * Get acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of Matplotlib * Develop advanced static plots with third-party packages such as Pandas, GeoPandas, and Seaborn * Create interactive plots with real-time updates * Develop web-based, Matplotlib-powered graph visualizations with third-party packages such as Django * Write data visualization code that is readil

Who reads Matplotlib for Python Developers : Effective techniques for data visualization with Python, 2nd Edition?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Allen Yu;Claire Chung;Aldrin Yim
Publisher
PACKT PUBLISHING LIMITED
Published
2018
Language
EN
ISBN
9781788628136
Category
nonfiction
Subjects
Science, Language Learning, Computer Science

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