Learn the skills you need to create your NumPy analytical modules successfully and build professional analytical applications.
NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities
Overview
Syllabus
Introduction
- Introduction
- What you should know
- Why should you use Matplotlib?
- Matplotlib basics
- Understanding figures
- Matplotlib subplots functionality
- Understanding legends
- Challenge: Implementing a figure
- Solution: Implementing a figure
- Colors and styles
- Advanced Matplotlib commands
- Adding annotations
- Creating pie charts and bar charts
- Advanced plots
- Universal functions
- Introducing strides
- Structured arrays
- Dates and time in NumPy
- Linear algebra capabilities in NumPy
- Decomposition
- Polynomial mathematics
- Application: Linear regression
- Next steps
Taught by
Terezija Semenski
