Write a better summary later. Also, testing.
Write a better summary later. Also, testing.
I was able to connect to Spotify and pull all artist, album, and track information about The Beatles by using an API. This post features information on this project, and how the Spotify API was useful.
After working with COVID-19 data from Johns Hopkins university through AWS, I thought it would be a good idea to make a dashboard to share information with others. This blog features the Dash library, which helps to build dashboards in Python!
Learning AWS through an interactive project took some work, yet the idea seems worth it for a variety of reasons!
A confidential project led to a simple yet powerful script! You know what they say - With power comes great responsibility...
This post discusses the preliminary stages of a Python project that extracts data out of hundreds of Excel files, followed by sending them to SQL Server. Jupyter posed some unexpected network issues, and Spyder was a wonderful solution!
Using Python, I conducted a sentiment analysis of the Harry Potter book series by chapter and book using natural language processing (NLP). I also utilized a naive bayes classifier to detect trends in sentiment throughout the books.
Using Python, I cleaned all text data from the Harry Potter series to create a word cloud based on the cumulative word count. The end result was an artistic word cloud in a magical style fit for the Harry Potter universe.
I learned how to use Python by conducting exploratory data analysis on the Harry Potter book series using Natural Language Processing