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Philip Harmon's Projects

python-api-challenge icon python-api-challenge

For this project, I created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, I utilized a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities.

python_api_challenge icon python_api_challenge

For this project, I created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, I utilized a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities.

social-network icon social-network

Mini social network that I made as my first MERN stack project.

sql-challenge icon sql-challenge

For this project, I designed tables to hold data in the CSVs, import the CSVs into a SQL database, and answer questions about the data. In other words, I performed these three things: 1) Data Modeling, 2) Data Engineering, and 3) Data Analysis.

sqlalchemy-challenge icon sqlalchemy-challenge

For this project I used Python and SQLAlchemy to do basic climate analysis and data exploration of my climate database. All of the following analysis was completed using SQLAlchemy ORM queries, Pandas, and Matplotlib.

uvicorn-gunicorn-fastapi-docker icon uvicorn-gunicorn-fastapi-docker

Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python 3.6 and above with performance auto-tuning. Optionally with Alpine Linux.

uwsgi-nginx-flask-docker icon uwsgi-nginx-flask-docker

Docker image with uWSGI and Nginx for Flask applications in Python running in a single container. Optionally with Alpine Linux.

web-design-challenge icon web-design-challenge

For this project I created a visualization dashboard website using visualizations that I created in a past assignment. Specifically, I plotted weather data. In building this dashboard, I created individual pages for each plot and a means by which I can navigate between them. These pages will contain the visualizations and their corresponding explanations. I also have a landing page, a page where I can see a comparison of all of the plots, and another page where I can view the data used to build them.

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