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MatDescriptionlib for Python Developers Effective techniques for data visualization with Python

MatDescriptionlib for Python Developers, Second Edition by Aldrin Yim
English | 25 Apr. 2018 | ISBN: 178862517X | 300 Pages | AZW3/EPUB/MOBI/PDF (conv) | 39.61 MB


Leverage the power of MatDescriptionlib to visualize and understand your data more effectively

Key Features
Perform effective data visualization with MatDescriptionlib and get actionable insights from your data
Design attractive graphs, charts, and 2D Descriptions, and deploy them to the web
Get the most out of MatDescriptionlib in this practical guide with updated code and examples

Book Description
Python is a general-purpose programming language increasingly being used for data analysis and visualization. MatDescriptionlib is a popular data visualization package in Python used to design effective Descriptions and graphs. This is a practical, hands-on resource to help you visualize data with Python using the MatDescriptionlib library.

MatDescriptionlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and Descriptions using MatDescriptionlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with MatDescriptionlib. After that, you'll embed and customize your Descriptions 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 MatDescriptionlib 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 MatDescriptionlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.

What you will learn
Create 2D and 3D static Descriptions such as bar charts, heat maps, and scatter Descriptions
Get acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of MatDescriptionlib
Develop advanced static Descriptions with third-party packages such as Pandas, GeoPandas, and Seaborn
Create interactive Descriptions with real-time updates
Develop web-based, MatDescriptionlib-powered graph visualizations with third-party packages such as Django
Write data visualization code that is readily expandable on the cloud platform

Who this book is for
This book is essentially for anyone who wants to create intuitive data visualizations using the MatDescriptionlib 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.

Table of Contents
Introduction to MatDescriptionlib
Getting Started with MatDescriptionlib
Decorating Graphs with Description Styles and Types
Advanced MatDescriptionlib
Embedding MatDescriptionlib in GTK+3
Embedding MatDescriptionlib in Qt 5
Embedding MatDescriptionlib in wxWidgets Using wxPython
Integrating MatDescriptionlib with Web Applications
MatDescriptionlib in the Real World
Integrating Data Visualization into the Workflow
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Tags: MatDescriptionl, Python, Developers, Effective, techniques, visualization, Python

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