sujal-burad/ee-2703---applied-programming-lab

Implementing basic Electrical Engineering Concepts in Python

EE-2703---Applied-Programming-Lab

This is a basic Python programming course that is provided to 2nd year B. Tech students studying Electrical Engineering at Indian Institute of Technology Madras (IIT-M).

This course covered the Fundamental of python like:

• Its datatypes(int, float, string, ...)
• List comprehension and decorators
• File handling
• Error handling in python
• Using various libraries like numpy, math, and scipy.

The following is the overview of the concepts that I implemented in Python :

• Solving a (10 x 10) linear equation using matrices and Gaussian elimination.
• Solving a given SPICE netlist using Modified Nodal Analysis (MNA).
• Visualizing data using Least Square Curve fitting. Using curve_fit for non-linear curves.
• Solving Combinational Circuits netlist using Directed Acyclic Graph (DAG), and Topological ordered evaluation and Event-driven evaluation.
• Animation : Morphing a triangle to an octagon (or any sided polygon) and back to triangle, using mapping.
• Finding the Optimum point of a single and multi-variable function using Gradient descent and Simulated Annealing.
• Solving the Travelling salesman problem for 10 cities, and 100 cities using Simulated Annealing.
• Using Cython to improve speed of solving SPICE netlist using MNA.

The implementation of all the above concepts is covered in the 8 Assignements.