An open-source fingering chart app to help you become a better musician

in these Jupyter notebooks you can visualise your Spotify listenings

A notebook demonstrating the Abjad API.

🎶 My musical notebook Github Pages

Python notebooks for interactive sessions on analysing audio and music (easy tutorials)

The notebook uploaded involves steps to fetch song and album details of an artist from spotify using Spotify API. In this notebook, I have fetched the songs of Korean girlgroup NewJeans and used the data in a dashboard uploaded on Tableau Public

Notebooks to analyse your listening history. 🎧🎙🎶 It can show your top 10 stuff by a selected period. 🥰

A pandas analysis in Jupyter Notebook of popular music throughout the years and their qualities using the Billboard Hot 100 charts and Spotify API

The GitHub repository focuses on transforming audio files into mel-spectrogram images. It was created for the "UrbanSound8k Mel Spectrogram Images" dataset on Kaggle. Key features include sound visualization and dataset creation for sound analysis. The repository includes an Audio-to-Spectrogram.ipynb notebook for creating spectrograms.

A Jupyter Notebook that allows you to download Spotify music using Google Colab.

Material (notebooks and data) for the hands-on workshop "Polars: The Turbo Boost for Dataframes" at data2day 2023 by BettercallPaul.

Personal Spotify Music Trend Analysis

Jupyter Notebook based interface to download and visualise music artists discography data, statistics and lyrics sentiment

Notebooks and data to accompany Python instruction for Data in Social Context Fall 2018

MVI course at FIT CTU

This project uses Spotify API, Python and Jupyter Notebooks to analyze the audio features of songs. The solution runs on a Docker Container with Anaconda installed for package management.

This Spotify Popularity prediction analysis was done in Python using Jupyter Notebooks. 3 linear regression models were used: linear regression, KNN regressors, and Support Vector Machines.

This extension makes it easy to render ABC markup as graphical music notation in a Jupyter notebook.

A collection of Python/Sagemath Notebooks for creating algorithmic music.

Absolutely incredible and fresh-pressed Google Colab Notebook to train and generate Music with the SOTA GGA-MG (AR-CNN) Hybrid Neural Network (AI).