Summary  
This chapter covers creating and customizing visualizations with Matplotlib, including basic plot types, figure and axes management, styling elements (colors, markers, line styles), annotations, subplots, and exporting figures.

General domain of usage  
Exploratory data analysis

Explore the power of Python for mathematical problem-solving, from basic arithmetic to advanced calculus and statistics. This course guides you through essential mathematical concepts and demonstrates how to implement them using Python's built-in capabilities and scientific libraries.

Learn how to perform basic arithmetic and algebraic operations using Python, including working with numbers, expressions, and mathematical functions.

Delve into solving single-variable equations and systems of linear equations using Python.

Apply Python to calculus concepts, including differentiation and integration.

Analyze data and visualize statistical results using Python's scientific libraries.

Data Visualization with Matplotlib