Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python

✍ Scribed by Ashwin Pajankar

• Publisher: Apress
• Year: 2021
• Tongue: English
• Leaves: 168
• Edition: 1st Edition
• Category: Library

✦ Synopsis

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. With Practical 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.

✦ Table of Contents

Table of Contents......Page 5
About the Author......Page 8
About the Technical Reviewers......Page 9
Acknowledgments......Page 11
Introduction......Page 12
Python Programming Language......Page 13
History of Python......Page 14
Philosophy of Python......Page 15
Applications of Python......Page 16
Installing on a Windows Computer......Page 17
Installing on Ubuntu and Debian Derivatives......Page 20
Python Modes......Page 21
Interactive Mode......Page 25
Script Mode......Page 26
Summary......Page 28
Chapter 2: Exploring Jupyter Notebook......Page 29
Overview of Jupyter Notebook......Page 30
Setting up Jupyter Notebook......Page 31
Running Code in Jupyter Notebook......Page 37
Summary......Page 41
Running OS Commands in Jupyter Notebook......Page 42
Introduction to Leather......Page 44
More Types of Visualizations......Page 48
Scales......Page 54
Styling......Page 56
Summary......Page 59
Chapter 4: Scientific Python Ecosystem and NumPy......Page 60
Scientific Python Ecosystem......Page 61
NumPy and Ndarrays......Page 62
More Than One Dimension......Page 64
Ndarray Properties......Page 65
NumPy Constants......Page 66
Summary......Page 67
Chapter 5: Data Visualization with NumPy and Matplotlib......Page 68
Matplotlib......Page 69
Visualization with NumPy and Matplotlib......Page 70
Single Line Plots......Page 75
Multiline Plots......Page 77
Grid, Axes, and Labels......Page 79
Colors, Styles, and Markers......Page 84
Summary......Page 90
Visualizing the Images......Page 91
Operations on Images......Page 95
3D Visualizations......Page 103
Summary......Page 110
Graphs and Networks......Page 111
Graphs in Python 3......Page 112
Visualizing Graphs in Python 3......Page 115
More Types of Graphs......Page 117
Assigning Custom Labels to Nodes......Page 124
Summary......Page 125
Introduction to Pandas......Page 126
Series in Pandas......Page 127
Basic Operations on Series......Page 129
Dataframes in Pandas......Page 130
Reading Data Stored in CSV Format......Page 136
Visualizing with Pandas......Page 137
Summary......Page 145
The COVID-19 Pandemic and the Data Set......Page 146
Data Sources for COVID-19 Data......Page 147
Visualizing the COVID-19 Data......Page 151
Summary......Page 164
Index......Page 165

✦ Subjects

Python