Jupyter notebooks based on Python are now available for a growing number of topics. The open source nature of Python and availability of an extensive range of specialized libraries make it a very attractive language for signal processing and related fields like machine learning and data science. And, Jupyter notebooks offer a great interactive tool for learning.
You can find Python-based lessons by looking for "Jupyter Notebook:" in the lesson title. Read the post Using Jupyter Notebooks to learn the basics of how they are set up. You don't need an All Access membership to benefit: you can try two notebooks out by signing up for a free account. Look for the notebooks that explore FIR filtering and image filtering in the Foundations course.
I'd love to receive your feedback on features you like and any suggestions for improving Jupyter notebook lessons. Please send me your thoughts through the contact form. Thank you!!
