music-code 0.0.9

Python library for creating music

Music-Code Documentation

Welcome to the Music-Code documentation. Music-Code is a python library for creating music. You can create musical notes, intervals, chords, progressions, melodies, bass lines, drum beats and full songs! You can also generated complex waveform visualizations for images and video. Music-Code is integrated with MySQL and provides and analytics dashboard to monitor system usage and data trends.

Setup

Download Program Files

First, download the Music-Code program files here: Music-Code Program Files. Store the program files in a memorable location, then copy the file path (you will need this in a moment).

Create Anaconda Environment

Anaconda is the optimal way to run Music-Code.

1. Install Anaconda on your machine
2. Create new conda environment named music_code
3. Activate music_code environment
4. Install the following requirements:

Requirements

numpy==1.18.4 pandas==1.0.3 matplotlib==3.2.1 seaborn==0.10.1 soundfile==0.10.3.post1 scipy==1.4.1 sklearn==0.0 datetime==4.3 PyAudio==0.2.11 wave==0.0.2 mysql-connector-python==8.0.20 psutil==5.7.0 jupyter

Installation

pip install music-code

Set Program Files Path

1. Open music_code.py in your conda environment. On my computer, the file is located here: C:\Users\wesle\Anaconda3\envs\music_code\Lib\site-packages\music_code\music_code.py
2. Go to line 42, in the MusicCode init function, find the program_files_location attribute. Copy and paste the file path to your program files folder, which you can download here: Music-Code Program Files. Once this path is set, the Music-Code file system is good to go. The program files folder contains the Music-Code sample library and datasets. All the WAV files and images you create are stored in this folder.

MySQL (optional)

Connect Music-Code to a MySQL database to archive all system data and have access to an analytics dashboard. To create the Music-Code MySQL database, see the database.txt file.

Test

Run the tests.py file inside your conda environment to ensure the all systems are working properly.

Jupyter Notebook Tutorials

Check out the jupyter notebooks tutorials. These demonstrate all the capabilities of the Music-Code library.