Spot1ny (Spot one en why) is a part of my plan to build a system to match people based on their data. Spot1ny compares the Spotify playlists of two users to see if their music tastes match. Also, I am developing a recommender system based on genres, audio features and lyrics.

Libraries used:

• Spotipy
• Pandas
• Matplotlib
• Seaborn
• scikit-learn
• BeautifulSoup
• LyricsGenius
• Plotly
• Pillow

• Data analysis and visualization
• Recommendation sysstem based on audio features, genres, lyrics
• How to crawl lyrics effectively and correctly (for not so popular songs without lyrics)
• Summary of data using Pillow (Similar to Spotify Wrapped) - Color Palettes From Spotify Wrapped 2018

• Create an application on Spotify Devloper Dashboard
• Get Client ID, Client Secret and Redirect URI
• Replace those credentials in the blanks spotify_api.py
• Run the requirements.txt file with:

pip install -r requirements.txt

• Run the main Python file to spawn csv files and analyze the data:

python main.py

• Or run the notebook in Jupyter Notebook or other kernels to see step by step analysis