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Python Computer Course
Unlock the power of Python for music professionals with our comprehensive course designed to enhance your audio processing skills. Dive into audio file handling, learn to convert formats, and manage large files effortlessly. Master data visualisation with Matplotlib to interpret audio data visually. Explore tempo and key detection, and gain insights into music theory tailored for programmers. Discover Python audio libraries like LibROSA and PyDub, and refine your skills with best practices in testing and documentation. Join now to elevate your music programming expertise!
- Convert audio formats: Master transforming audio files for diverse applications.
- Visualise audio data: Create insightful plots and waveforms using Matplotlib.
- Detect tempo and key: Programmatically identify musical tempo and key.
- Analyse frequencies: Use FFT to uncover prominent audio frequencies.
- Document code: Write clear, effective Python documentation and test cases.

4 to 360 hours flexible workload
certificate recognised by MEC
What will I learn?
Unlock the power of Python for music professionals with our comprehensive course designed to enhance your audio processing skills. Dive into audio file handling, learn to convert formats, and manage large files effortlessly. Master data visualisation with Matplotlib to interpret audio data visually. Explore tempo and key detection, and gain insights into music theory tailored for programmers. Discover Python audio libraries like LibROSA and PyDub, and refine your skills with best practices in testing and documentation. Join now to elevate your music programming expertise!
Elevify advantages
Develop skills
- Convert audio formats: Master transforming audio files for diverse applications.
- Visualise audio data: Create insightful plots and waveforms using Matplotlib.
- Detect tempo and key: Programmatically identify musical tempo and key.
- Analyse frequencies: Use FFT to uncover prominent audio frequencies.
- Document code: Write clear, effective Python documentation and test cases.
Suggested summary
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