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LinkedIn Learning

NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities

via LinkedIn Learning

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Overview

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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

Reviews

4.5 rating at LinkedIn Learning based on 124 ratings

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