April 2018
Beginner to intermediate
300 pages
7h 34m
English
Overview
"Matplotlib for Python Developers" is your comprehensive guide to creating interactive and informative data visualizations using the Matplotlib library in Python. This book covers all the essentials-from building static plots to integrating dynamic graphics with web applications.
What this Book will help me do
- Design and customize stunning data visualizations including heatmaps and scatter plots.
- Integrate Matplotlib visualization seamlessly into GUI applications using GTK3 or Qt.
- Utilize advanced plotting libraries like Seaborn and GeoPandas for enhanced visual representation.
- Develop web-based dashboards and plots that dynamically update using Django.
- Master techniques to prepare your Matplotlib projects for deployment in a cloud-based environment.
Author(s)
Authors Aldrin Yim, Claire Chung, and Allen Yu are seasoned developers and data scientists with extensive experience in Python and data visualization. They bring a practical touch to technical concepts, aiming to bridge theory with hands-on applications. With such a skilled team behind this book, you'll gain both foundational knowledge and advanced insights into Matplotlib.
Who is it for?
This book is the ideal resource for Python developers and data analysts looking to enhance their data visualization skills. If you're familiar with Python and want to create engaging, clear, and dynamic visualizations, this book will give you the tools to achieve that. Designed for a range of expertise, from beginners understanding the basics to experienced users diving into complex integrations, this book has something for everyone. You'll be guided through every step, ensuring you build the confidence and skills needed to thrive in this area.
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