Spotify Analysis

Tue, 22 Jul 2025 00:00:00 +0000

Exploring Music Through Data: Spotify Audio Feature Analysis

Introduction

Music is often described as emotional and subjective, but beneath that subjectivity lies a rich layer of measurable data. Platforms like Spotify analyze tracks using detailed audio features such as danceability, energy, and valence, offering a unique opportunity to study music from a data-driven perspective.

This project, Spotify Audio Feature Analysis, was designed to explore how these characteristics vary across genres, popularity levels, and time. By combining publicly available datasets from Kaggle with additional metadata retrieved via the Spotify Web API, the goal was to uncover patterns in how music evolves and what defines different styles of sound.

Typing Speed V2

Sat, 07 Jan 2023 00:00:00 +0000

Building a Fast, Minimal Typing Speed Test with Python and MySQL

Introduction

Typing speed tests are a simple but effective way to improve accuracy, speed, and consistency while working on a computer. Most online typing platforms rely heavily on graphical interfaces and web-based systems, but I wanted to explore a different challenge: building a fast, responsive, and fully terminal-based typing experience powered by a real backend database.

That idea led to the development of Typing-Speed-TUI-V2, a Python-based typing speed application featuring a Text User Interface (TUI) and persistent MySQL storage. The project was designed to combine low-level terminal interaction with backend engineering concepts such as authentication, database management, statistics tracking, and secure password handling.

Python on whois JoeByjo

Spotify Analysis

Exploring Music Through Data: Spotify Audio Feature Analysis

Introduction

Typing Speed V2

Building a Fast, Minimal Typing Speed Test with Python and MySQL

Introduction