Practical Python data visualization : a fast track approach to learning data visualization with Python / Ashwin Pajankar.

Format:

Book

Author/Creator:

Pajankar, Ashwin, author.

Series:

Professional and Applied Computing.

Language:

English

Subjects (All):

Python (Computer program language).

Physical Description:

1 online resource (168 pages)

Edition:

1st ed. 2021.

Place of Publication:

2020.

[Place of publication not identified] : Apress, [2021]

System Details:

text file

Summary:

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.

Contents:

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.

Notes:

Includes index.

Description based on print version record.

ISBN:

1-4842-6455-X