August 2017
Beginner to intermediate
334 pages
8h 22m
English
Overview
"Matplotlib 2.x By Example" is your comprehensive guide to mastering data visualization in Python using the Matplotlib library. Through detailed explanations and hands-on examples, this book will teach you how to create stunning, insightful, and professional-looking visual representations of your data. You'll learn valuable skills tailored towards practical applications in science, marketing, and data analysis.
What this Book will help me do
- Understand the core features of Matplotlib and how to use them effectively.
- Create professional 2D and 3D visualizations, such as scatter plots, line graphs, and more.
- Develop skills to transform raw data into meaningful insights through visualization.
- Enhance your data visualizations with interactive elements and animations.
- Leverage additional libraries such as Seaborn and Pandas to expand functionality.
Author(s)
Allen Yu, Claire Chung, and Aldrin Yim are seasoned data scientists and technical authors with extensive experience in Python and data visualization. Allen and his coauthors are dedicated to helping readers bridge the gap between their raw data and meaningful insights through visualization. With practical applications and real-world examples, their approachable writing makes complex libraries like Matplotlib accessible and production-ready.
Who is it for?
This book is perfect for data enthusiasts, analysts, and Python programmers looking to enhance their data visualization skills. Whether you're a professional aiming to create high-quality visual reports or a student eager to understand and present data effectively, this book provides practical and actionable insights. Basic Python knowledge is expected, while all Matplotlib-related aspects are thoroughly explained.
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