The Python Audio Cookbook

Recipes for Audio Scripting with Python

Alexandros Drymonitis

$284

Hardback

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English

Focal Press
18 December 2023

Programming & scripting languages: general; Software Engineering; Audio processing

The Python Audio Cookbook offers an introduction to Python for sound and multimedia applications, with chapters that cover writing your first Python programs, controlling Pyo with physical computing, and writing your own GUI, among many other topics.

Guiding the reader through a variety of audio synthesis techniques, the book empowers readers to combine their projects with popular platforms, from the Arduino to Twitter, and state-of-the-art practices such as AI. The Python Audio Cookbook balances accessible explanations for theoretical concepts, including Python syntax, audio processing and machine learning, with practical applications.

This book is an essential introductory guide to Python for sound and multimedia practitioners, as well as programmers interested in audio applications.

By: Alexandros Drymonitis
Imprint: Focal Press
Country of Publication: United Kingdom
Dimensions: Height: 246mm, Width: 174mm,
Weight: 748g
ISBN: 9781032480145
ISBN 10: 1032480149
Pages: 298
Publication Date: 18 December 2023
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

1. Getting Started 2. Writing Your First Python Programs 3. Diving into Audio Synthesis Techniques 4. Phase Vocoder Techniques 5. Controlling Pyo with Physical Computing 6. Communicating with Other Software with OSC 7. Machine Learning in Music 8. Writing Your Own Classes in Python 9. Switched on music21 10. The Events Framework 11. The MML and Prefix Expression 12. Writing Your Own GUI 13. Using Various Python APIs in Music Scripts

Alexandros Drymonitis is a sound and new media artist. He has a PhD on the creation of musical works with the programming language Python. His artistic practice focuses on new techniques utilising new media such as computer programming, live coding, AI, or even older practices, like modular synthesis.