Python Computer Course
What will I learn?
Unlock the power of Python for music okes with our comprehensive course designed to enhance your audio processing skills. Dive into audio file handling, learn to convert formats, and manage large files with ease. 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, sharp sharp!
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
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
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.