Develop Your Electrical Circuit Solver in Python

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Circuit Theory

Lecture 1: Introduction to Modified Nodal Analysis (MNA)

Lecture 2: MNA Basics – Example 1 – Part 1

Lecture 3: MNA Basics – Example 1 – Part 2

Lecture 4: MNA Basics – Example 2 – Part 1

Lecture 5: MNA Basics – Example 2 – Part 2

Lecture 6: Application of the MNA Principles – Part 1

Lecture 7: Application of the MNA Principles – Part 2

Lecture 8: Application of the MNA Principles – Exercise Solution

Lecture 9: MNA Computational Formulation

Lecture 10: Calculation of Branch Voltages and Currents

Lecture 11: Incidence Matrix

Lecture 12: Branch Admittance Matrix and Complete Equation for Currents

Lecture 13: LC Modelling in Time Domain – Trapezoid Area

Lecture 14: LC Modelling in Time Domain – Trapezoidal Rule

Lecture 15: LC Modelling in Time Domain – Common Representation and Iterative Process

Lecture 16: LC Modelling in Time Domain – Proof of the Inductor Model

Lecture 17: LC Modelling in Time Domain – Proof of the Capacitor Model

Lecture 18: LC Modelling in Time Domain – Impact on the MNA Matrix Equation

Lecture 19: Exercise – Proof of the Nodal Analysis Formulation

Lecture 20: Presentation of the Proof of the Nodal Analysis Matrix Equation

Lecture 21: Exercise – Proof of the MNA Formulation

Lecture 22: Presentation of the Proof of the MNA Formulation

Chapter 3: Python Fundamentals

Lecture 1: Python Installation

Lecture 2: Code Editor and IDE

Lecture 3: Getting Started with PyCharm

Lecture 4: Integers, Floats and Strings

Lecture 5: Lists

Lecture 6: Conditional Statements

Lecture 7: Loops – Part 1

Lecture 8: Loops – Part 2

Lecture 9: Exercises – Lists, Loops and Conditional Statements

Lecture 10: Exercises Solutions – Lists, Loops and Conditional Statements

Lecture 11: Dictionaries – Part 1

Lecture 12: Dictionaries – Part 2

Lecture 13: Exercise – Dictionaries

Lecture 14: Functions – Part 1

Lecture 15: Functions – Part 2

Lecture 16: Functions – Part 3

Lecture 17: Exercises – Functions

Lecture 18: Functions – Solution to Exercise 1

Lecture 19: Functions – Solution to Exercise 2

Lecture 20: Object-Oriented Programming – Part 1

Lecture 21: Object-Oriented Programming – Part 2

Lecture 22: Object-Oriented Programming – Part 3

Lecture 23: Exercise – Object-Oriented Programming

Lecture 24: Object-Oriented Programming – Solution to the Exercise

Lecture 25: Files I/O

Lecture 26: Introduction to NumPy

Lecture 27: Introduction to Pandas

Lecture 28: Introduction to Matplotlib

Lecture 29: __name__ and __main__

Lecture 30: Virtual Environments

Chapter 4: DC Circuit Solver

Lecture 1: Introduction

Lecture 2: Program Structure

Lecture 3: Solution – Part 1 – Storing the Input Data

Lecture 4: Solution – Part 2 – Input Pre-processing

Lecture 5: Solution – Part 3 – Node Admittance Matrix

Lecture 6: Solution – Part 4 – Incidence Matrix and MNA Matrix

Lecture 7: Solution – Part 5 – RHS Vector and System Solution

Lecture 8: Solution – Part 6 – Branch Voltages and Currents

Lecture 9: Documentation and Arbitrary Nodes Labelling

Chapter 5: Introduction to Version Control

Lecture 1: Version Control Definition and Concepts

Lecture 2: Token Authentication for Git Operations

Lecture 3: Practicing Git From the Command Line

Lecture 4: Version Control with PyCharm

Chapter 6: Frequency Domain Solver

Lecture 1: Introduction

Lecture 2: Tips and Hints

Lecture 3: Solution – Part 1 – Input Pre-processing

Lecture 4: Solution – Part 2 – System Solution and Results Validation

Chapter 7: Time Domain Solver

Lecture 1: Introduction

Lecture 2: Tips and Hints

Lecture 3: Solution – Part 1 – Before the Main Loop

Lecture 4: Solution – Part 2 – Main Loop Implementation

Lecture 5: Results Validation

Chapter 8: Code Refactoring and Output Formatting

Lecture 1: Introduction

Lecture 2: Introduction to Class Inheritance

Lecture 3: Changes to the Input Files Format

Lecture 4: Base Class Implementation

Lecture 5: Decorators and Static Methods

Lecture 6: Output Formatting – Introduction

Lecture 7: Output Formatting – Implementation

Lecture 8: Defining the Python End-User Interface – Introduction

Lecture 9: Defining the Python End-User Interface – Implementation

Lecture 10: Allowing Alpha-Numerical Nodes Labelling – Introduction

Lecture 11: Allowing Alpha-Numerical Nodes Labelling – Implementation

Lecture 12: Running a Python Script With Additional Command Line Arguments

Lecture 13: Improvements Suggestion