Practical Python Data Visualization : A Fast Track Approach To Learning Data Visualization With Python 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. You will: 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. Chapter 1: Data Visualization with Leather Chapter 2: Introduction to the Scientific Python Ecosystem and NumPy Chapter 3: NumPy Routines and Visualization with Matplotlib Chapter 4: Visualizing images and 3D Shapes Chapter 5 :Visualize Networks and Graphs Chapter 6: Getting Started with Pandas Chapter 7: Processing and Visualizing COVID 19 Data Appendix.