NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities

Offered By: LinkedIn Learning

Tags

NumPy Courses Data Visualization Courses Python Courses Linear Algebra Courses Time Series Analysis Courses Matplotlib Courses Scientific Computing Courses Matrix Decompositions Courses

Course Description

Overview

Learn the skills you need to create your NumPy analytical modules successfully and build professional analytical applications.

Syllabus

Introduction

Introduction
What you should know

1. Plotting with Matplotlib

Why should you use Matplotlib?
Matplotlib basics
Understanding figures
Matplotlib subplots functionality
Understanding legends
Challenge: Implementing a figure
Solution: Implementing a figure

2. Matplotlib Styling and Advanced Plots

Colors and styles
Advanced Matplotlib commands
Adding annotations
Creating pie charts and bar charts
Advanced plots

3. From Beginner to Advanced NumPy

Universal functions
Introducing strides
Structured arrays
Dates and time in NumPy

4. Linear Algebra in NumPy

Linear algebra capabilities in NumPy
Decomposition
Polynomial mathematics
Application: Linear regression

Conclusion

Next steps

Taught by

Terezija Semenski

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