Python Computer Course
What will I learn?
Open up the power of Python for music folks with our complete course, designed to make your audio work better. Get stuck in with handling audio files, learn how to change formats, and manage big files easy-easy. Become a master at showing data with Matplotlib, so you can see audio data clearly. Check out tempo and key finding, and get some knowledge of music theory made for programmers. Discover Python audio libraries like LibROSA and PyDub, and make your skills sharp with good ways of testing and writing things down. Join now to level up your music programming skills!
Apoia's Unique Offerings
Develop your skills
Enhance your practical skills listed below
Change audio formats: Become a pro at changing audio files for all sorts of uses.
Show audio data: Make plots and waveforms that tell you something using Matplotlib.
Find tempo and key: Use code to find the musical tempo and key.
Look at frequencies: Use FFT to find the main audio frequencies.
Write down code: Write clear, good Python documentation and 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 similar to the examples below
This is a free course aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your professional journey.