The updated problem statement for this assignment can be found at https://github.com/LS-Computer-Vision/Python-Basics

Python-Basics

This assignment is to test the basics of Python and Numpy.

Here is a Python tutorial to get you started

Make sure you have at least Python 3.7

Part 0: Setup

Open up your terminal and execute the following commands:

pip install venv
python -m venv venv

Next command depends on your OS

Windows

venv/Scripts/activate

Linux / OSX

source venv/bin/activate

Next step is common

pip install -r requirements.txt

Part 1: SlowMatrix

We will attempt to build a matrix class, albeit slow. Let us call it SlowMatrix. Boilerplate for this class is already provided in the file SlowMatrix.py. Implement all the methods provided (the comments explain the functionality you need to implement)

PS: You are not allowed to use anything except standard Python (no matrix libraries like numpy)

Part 2: Numpy

We will implement PCA (Principal Component Analysis) using numpy

1. Read a D dimensional dataset of N datapoints from a .txt file and project it onto a 2-dimensional space (N, D can be variable). The file will have N rows, with each row containing D comma- separated values. There will be no whitespaces in this file.

2. Plot the projected data (using a scatter plot) and save the plot to file in the data directory as ’out.png’ [This saving to file should be automatically done by the code]. While plotting, ensure both the x and y axis have the same aspect, and show values from [-15,15].

Run this program using

python pca.py data.txt