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Working with Audio in Python (feat. Pedalboard) - presented by Peter Sobot
EuroPython Conference
36K subscribers • 31 videos on Hallway • Conference channel
- One of the most-watched uploads on EuroPython, a conference or university channel Hallway lists. Nobody has recommended it in the communities yet, so it ranks below community picks.
- Presented by Peter Sobot
- May be out of date. The tools, versions or practices it shows have likely moved on.
Intermediate. Assumes working knowledge.
13K views3 years ago
Graphics and audioProgramming languagesAudio and DSPPython
Peter Sobot explains the fundamentals of digital audio and demonstrates how to use the Pedalboard library to process audio in Python.
EuroPython 2022 - Working with Audio in Python (feat. Pedalboard) - presented by Peter Sobot [Liffey B on 2022-07-13] Digital audio has been around for 40 years, but working with audio data can still be complicated, especially in Python. In this talk, we'll talk about how digital audio works from the ground up (from sounds, to bytes, to files), how you can use Python to do a bunch of really neat things with audio, and how a new Python library - Pedalboard - helps make working with audio much easier. Ever used a digital audio workstation (DAW) like GarageBand, Ableton Live, Logic, or Pro Tools? Today's musicians use DAWs as instruments in themselves. But what if you want to combine the power of a DAW with the flexibility of writing your own code? Pedalboard was built to fill this niche: to pull the power of a DAW into your Python code. Pedalboard makes it easy to build and apply audio effects, read and write audio files, and load audio plug-ins (""VSTs"") without any complicated dependencies or frameworks. Just `import pedalboard` and go! This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License creativecommons.org/licenses/by-nc-sa/4.0/Why it's here
A top upload from a listed channelEuroPython is on Hallway's list of conference and university channels, and this upload is one of its most-watched talks or lectures. Nobody has recommended it in the communities yet, so it ranks below community picks.