This repository contains practical implementations from the Udemy course "Learn Python through Music with Ableton Live" (https://globant.udemy.com/course/learning-python-with-ableton-live/). The materials focus on Python programming concepts applied to music production and Ableton Live integration, with emphasis on real-time control systems and algorithmic composition.
python_and_ableton_resources/
├── Part_B/ # Core Python implementations for musical applications
│ ├── B7_-_Send_CC_Data.py
│ ├── B21_-_Sending_data_to_Ableton.py
│ └── ... (fundamental implementations)
├── Part_C/ # Advanced Ableton API integrations
│ ├── C1_-_The_LOM.py
│ ├── C8_-_Play_Clips.py
│ └── ... (API interaction examples)
├── Part_D/ # MIDI Remote Script framework
│ └── nano/ # Custom control surface implementation
└── 00data/ # Scientific datasets for algorithmic composition
- Real-time MIDI control surface implementation for dynamic parameter modulation
- OSC communication protocols for inter-application data exchange
- Algorithmic composition systems using scientific datasets
- Custom MIDI controller scripting framework
- Webcam-based gesture recognition for musical input control
- Ableton Live 11/12 (API access enabled in Preferences > API)
- Python 3.9+
- Required Python packages:
- python-osc
- mediapipe
- numpy
- Create and activate a virtual environment:
python3 -m venv venv
source venv/bin/activate- Install required dependencies:
pip install python-osc mediapipe numpy- Configure Ableton Live API access:
- Open Ableton Live Preferences > API
- Enable "Allow Python API" and "Allow OSC API"
# MIDI CC Data Transmission (Part B7)
from ableton.midi import CCData
cc = CCData(channel=1, control=20, value=127)
cc.send_to_ableton() # Transmit control change to Ableton
# Clip Automation (Part C8)
from ableton.clips import ClipPlayer
player = ClipPlayer(track_name="Drums") # Target track by name
player.play_clip(clip_index=0) # Initiate clip playback- macOS 11+
- Python 3.9+
- Visual Studio Code