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.
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