This Dockerized Python application analyzes two text files (IF.txt and AlwaysRememberUsThisWay.txt). It counts total words, identifies the largest file, and finds the top three most frequent words in each. Results are saved to an output file and printed to the console.

In this project, I analyzed weather data from the NCEI Global Surface Summary of Day dataset using PySpark in Jupyter Notebook. Tasks included data cleaning, statistical analysis, and forecasting for temperature, wind speed, precipitation, and extreme weather events. The project also predicts future weather patterns for Cincinnati and Florida.

This lab involves creating a Flask web app hosted on AWS EC2. It features user registration, login functionality, and data storage using SQLite. The app supports file uploads, user form submissions, and authentication. Apache with mod_wsgi is used to deploy the app, and SQL queries manage interactions with the database.