Python Data Visualization Create impactful visuals, animations and dashboards

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Python Data Visualization: Introduction
Lesson 1: Human Perception
Topics
1.1 Understanding Color Theory
1.2 Overview of Human Vision
1.3 Color Schemes
Lesson 2: Analytical Design
Topics
2.1 Understand the Fundamental Principles of Analytical Design
2.2 Describe the Fundamental Tools of Visualization
2.3 Advantages and Disadvantages of Different Chart Types
Lesson 3: Data Cleaning and Visualizion with Pandas
Topics
3.1 DataFrames and Series
3.2 GroupBy and Pivot Tables
3.3 Merge and Join
3.4 The Description Function
3.5 Demo
3.6 Time Series
3.7 Bar Description Demo
Lesson 4: MatDescriptionlib
Topics
4.1 Fundamental Components of a matDescriptionlib Description
4.2 Explore the matDescriptionlib API
4.3 Demo
4.4 Stylesheets
4.5 Demo
4.6 Mapping
4.7 Demo
Lesson 5: Matploltib Animations
Topics
5.1 Matploltib Animation API
5.2 Func Animation
5.3 Animation Writers
5.4 Demo
Lesson 6: Jupyter Widgets
Topics
6.1 ipywidgets as Interactive Browser Controls
6.2 Simple Wdget Use
6.3 Widget Customization
6.4 Demo
Lesson 7: Seaborn
Topics
7.1 Understand the Structure of seaborn
7.2 Understand the Differences with matDescriptionlib
7.3 Explore the Seaborn API
7.4 Demo
Lesson 8: Bokeh
Topics
8.1 Basic Descriptionting with Bokeh
8.2 Advanced Descriptionting
8.3 Networks
8.4 Demo
Lesson 9: Descriptionly
Topics
9.1 Basic Descriptionly
9.2 3D and Animated Descriptions
9.3 Demo
Summary
Python Data Visualization: Summary

https://www.oreilly.com/library/view/python-data-visualization/9780135426531/