The music of the Riemann Hypothesis: sound Generation in Python

https://www.datasciencecentral.com/the-music-of-the-riemann-hypothesis-sound-generation-in-python/

the sound that data makes

• Turning data - random noise in this case into music. Listening to your data. gain a different kind of insights.
• Listening to the data, different insights, not conveyed by visualizations or tabular summaries
• How touse the methods on real data: create data sou d track and data video, combine both

Benefits of data sonification

• sound adds multiple dimensions: amplitude, volume and frequency over time
• producing pleasant sounds,with each musical note representing a multivariate data point, equivalent to data bining or bukectization
• More Dientions: multiple musical instruments, stereo, large database of data music, generative AI: sound generation to mimic existing datasets, musical AI art, syntetic movies

Implementation

Data sonification

• creating the musical scale(notes
• creating and transforming the data
• plotting the sound waves
• producing the sound track

Musical Notes

• if you want to create a pleasant melody, without it, the sound will feel like noise.