Python Computer Course
What will I learn?
Unleash the potential of Python specifically tailored for music professionals; our detailed course is designed to boost your audio processing skills. Immerse yourself in audio file handling, learn to convert between different formats, and efficiently manage large files. Become proficient in data visualisation using Matplotlib to visually interpret audio data. Explore tempo and key detection techniques and gain relevant insights into music theory for programmers. Discover powerful Python audio libraries such as LibROSA and PyDub, and refine your coding abilities with best practices in testing and documentation. Enrol now and take your music programming skills to the next level!
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Convert audio formats: Expertly transform audio files to suit various needs and applications.
Visualise audio data: Generate informative plots and waveforms utilising Matplotlib.
Detect tempo and key: Identify the tempo and key of musical pieces programmatically.
Analyze frequencies: Employ FFT (Fast Fourier Transform) to discover key audio frequencies.
Document code: Develop clear and effective Python documentation and comprehensive test cases.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and 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 it offers practical and relevant knowledge for your professional journey.