This is a group project for the course 'Foundations of Educational Technology' by Prof.Kaushal Bhagat. You can find the ppt here
This collection of jupyter notebooks for the book "Python for Signal Processing", introduces various topics of Digital Signal Processing. This book is available as a blog where you can read the formatted notebooks and comment further.
The theory is accompanied by computational examples written in IPython 3.
The sources of the notebooks, as well as installation and usage instructions can be found on GitHub.
- Write code in jupyter notebook using the nbinterct format.
- import nbinteract module
from ipywidgets import interact
- write the code snippet as a function and give functions for to interact module using
interact(<function_name>, <p1>(:range),<p2>(:range))
- import nbinteract module
- Convert the notebook using command
nbinteract <notebook_name>.ipynb
- Done!