This document provides an overview of a crash course on getting started with Object Oriented Programming (OOP) through signal processing in Python. The course will include live coding over 4 sections with exercise breaks and solutions provided. No prior signal processing knowledge is required. The document outlines what will be covered such as signal vs wave vs spectrum, wrapping code in classes, augmenting models through delegation and composition, defining contracts/templates, and introducing design patterns. Guidelines for OOP like data encapsulation and polymorphism are also mentioned. Resources for further learning are provided at the end.

1. Getting started with Object
Oriented Programming through
Signal Processing
Francesco Bruni - PyconUS 22
@brunifrancesco - kususe.com

2. Who I am
• MSC in Tlc Engineering
• Software engineer at Planetek Italia
• Playing with Python for 15 years
• No single-tech fanatic :)

3. Coming
from Bari,
South Italy

4. Why OOP in the AI era?

6. About this crash course
• No previous Signal Processing knowledge
• Live coding, 4 sections, exercise break at the end,
solutions provided in solutions.py
• Python is required, but Jupyter notebook o
ff
ers a
more in-depth experience
• All the complexity has been wrapped in the utils.py
library

7. Signal vs Wave
x(t) = A * sin(2πft + θ)
A is the amplitude
sin is the periodic function
f is the frequency
θ is the offset
θ

8. Signal vs Wave vs Spectrum
Signal Wave
Spectrum
Filtering

9. Get to code!

10. Wrapping up
• Step 1: Everything in the class
• Step 2: Augmenting our model through delegation
and composition
• Step 3: De
fi
ning contracts or templates
• Step4: Introducing Design Patterns

11. Guidelines found so far
• Data encapsulation
• Polymorphism
• Delegation vs Composition
• A class with a single responsibility
• Extends instead of modifying
• Depends on abstractions

12. Going further

13. Think DSP
https://greenteapress.com/wp/think-dsp/

14. SOLID Principles

15. UML

16. More Design Patterns

17. Think
fi
rst, code later

18. Thanks
Questions?
Please
fi
ll this feedback form