This repo contains exercises and code projects written during the Foundation Phase of the EXPLORE Data Science Academy.
It has files on exploratory analysis using Pandas, advanced Python functions, and some extra notebooks to make learning Data Science easy.
Contains DB extract files from the Cape Town Water Crisis database
and other
dataset files to use during analysis.
Pandas Data Exploratory analysis done on dam levels, extracted from the Cape Town Water Crisis Database.
Sample codes used when plotting graphs using matplotlib pyplot.
Combinatorial complexity testing and statistics introduction.
urllib functionality for reading data of the internet.
The methods can be extended to retrieve non-proprietary site data to use in analysis.
urllibparse.py contains code used to perform a GET using URL encoding request to a website.
A mixture of functions that solve a certain problem.
These include recursion, merge sort, combination counting, and complexity complexity testing.