Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with Python (Paperback)

· 제목 : Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with Python (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 프로그래밍 언어 > Python
· ISBN : 9781484264546
· 쪽수 : 160쪽
· 출판일 : 2020-10-25

Chapter 1: Data Visualization with Leather

Chapter Goal: Introduce readers to the data visualization with a simple library leather

No of pages: 15

Sub - Topics:

1. Introduction to leather

2. Installation to leather

3. Various types of graphs with leather

Chapter 2: Introduction to the Scientific Python Ecosystem and NumPy

Chapter Goal: Explore Scientific Python 3 ecosystem and constituent member libraries. We will also learn basics of the NumPy multidimensional data structure Ndarrays.

No of pages: 15

Sub - Topics:

1. Scientific Python 3 Ecosystem

2. Member libraries

3. Installation of NumPy

4. NumPy basics

5. Ndarrays

Chapter 3: NumPy Routines and Visualization with Matplotlib

Chapter goal ? Learn to visualize data with Matplotlib. Readers working in the data science and scientific domains will be thrilled to get started with this.

No of pages: 15

Sub - Topics:

1. NumPy Ndarray creation Routines

2. Installation of Matplotlib

3. Visualization with Matplotlib

4. Multiple graphs

5. Axis, colors, and markers

Chapter 4 : Visualizing images and 3D Shapes

Chapter goal ? Learn to visualize greyscale and color images. We will explore basic image processing operations. We will also learn to visualize 3D shapes and wireframes.

No of pages: 20

Sub - Topics:

1. Visualize images with Matplotlib

2. Basic Operations on images

3. 3D visualizations

Chapter 5 : Visualize Networks and Graphs

Chapter goal ? Network and Graph Data structures. We will learn to install network library and visualize network.

No of pages: 15

Sub - Topics:

1. Networks and Graphs

2. Installation of network library

3. Visualize graphs

Chapter 6 : Getting Started with Pandas

Chapter goal ? Learn to work with Pandas Series and Dataframe data structures.

No of pages: 15

Sub - Topics:

1. Pandas library and installation

2. Series

3. Dataframes

4. Reading data from a URL

Chapter 7: Processing and Visualizing COVID-19 Data

Chapter goal ? Learn to work with COVID-19 Data. Visualize the number of COVID-19.

No of pages: 20

Sub - Topics:

1. COVID-19 Pandemic

2. COVID 19 data sources

3. COVID 19 python libraries

4. Visualization of data

Appendix: