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:
About the Author: Ashwin Pajankar holds a Master of Technology from IIIT Hyderabad, and has over 25 years of programming experience. He started his journey in programming and electronics at the tender age of 7 with BASIC programming language and is now proficient in Assembly programming, C, C++, Java, Shell Scripting, and Python. Other technical experience includes single board computers such as Raspberry Pi and Banana Pro, and Arduino.
He is currently a freelance online instructor teaching programming bootcamps to more than 60,000 students from tech companies and colleges. His Youtube channel has an audience of 10000 subscribers and he has published more than 15 books on programming and electronics with many international publications.
