Practical Python Data Visualization

A Fast Track Approach To Learning Data Visualization With Python

By: Ashwin Pajankar

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eText | 24 October 2020

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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations.

You'll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python's popular data visualization charting library. You'll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You'll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets.

The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. WithPractical Python Data Visualization you'll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.

What You'll Learn

Review practical aspects of Python Data Visualization with programming-friendly abstractions
Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu
Visualize COVID-19 data sets with Pandas

Who This Book Is For

Data Science enthusiasts and professionals, Business analysts and managers, software engineers, data engineers.