Henry Fortes-Timmermann
Python Projects
Wifi test
This was a project I made in response to my school having some WiFi issues since many people would be on Zoom at the same time, causing the WiFi to slow down greatly. The program collects a certain amount of data points, specified by the user, and outputs a graph, among other things, essentially giving the user a report on how their WiFi is doing. I used the libraries speedtest-cli to get the speeds (download, upload, and ping), matplotlib.pyplot to graph the points, and tqdm to show the progress of the program.
Stock Market Analysis
Not Available Yet
One of my first Python projects was analyzing stock prices. I used the requests and json library along with the Alpha Vantage API to import the data without having to store it locally. My program output the stock’s monthly time series, returns, cumulative returns, daily mean, value at risk, max VC draw down, and statistics such as the Jarque-Bera test for normality. I used the libraries Pandas, NumPy, SciPy (scp, stats, and optimize), Matplotlib, OS, Random, and Datetime. These libraries were used for statistical analysis, optimization, data manipulation, graph generation, and date/time translation
API projects
Here are some projects I made that make use of an API (application programming interface). Each of these differs in which purpose they serve but, it all comes down to analyzing and pulling out the data you want to present to the user. Each of these programs is intended to make daily life easier. The base libraries I used for each of these programs were requests (to pull the data) and JSON (to analyze/organize the data). Some of these programs require an API key, which can be obtained for free by going to the link in the README.md file in each folder.
