Audio Signal Processing in Python

As a quick (and hopefully painless) introduction to the whole topic, have a look at:

If you want to know about the basics of Python and nothing else (no numeric Python, no plotting, no signal processing, just the very basics), that's for you:

More topics:

Warning: The following topics are very much work in progress!

TODO: more topics ...

There are quite a few blog posts and other resources available, here are a few links, use your favorite search engine to find more.

Other Scientific Topics and Scientific Python in General

http://scipy-lectures.github.io/

https://github.com/jrjohansson/scientific-python-lectures

http://pig-in-the-python.blogspot.de/

http://www.southampton.ac.uk/~feeg1001/index.html

Computational Methods for Psychology and Neuroscience: http://memory.osu.edu/classes/python/index.html

https://github.com/IanHawke/maths-with-python

http://www.southampton.ac.uk/~fangohr/training/python/index.html

PHY 546: Python for Scientific Computing: http://bender.astro.sunysb.edu/classes/python-science/

https://www.dataquest.io/blog/numpy-tutorial-python/

http://blancosilva.github.io/post/2014/10/28/Computational-Geometry-in-Python.html

http://matthew-brett.github.io/teaching/

http://jakevdp.github.io/blog/2017/03/03/reproducible-data-analysis-in-jupyter/

Python Data Science Handbook: full text in Jupyter Notebooks
https://github.com/jakevdp/PythonDataScienceHandbook

Machine Learning for Artists: https://ml4a.github.io/index/, https://github.com/ml4a/ml4a-guides

Notes on Artificial Intelligence: https://frnsys.com/ai_notes/

IPython Cookbook, Second Edition (2018): http://ipython-books.github.io/

Learning Python for Social Scientists: https://nealcaren.github.io/python-tutorials/

https://calculus-notes.readthedocs.io/

Ten Simple Rules for Reproducible Research in Jupyter Notebooks:
https://arxiv.org/abs/1810.08055
https://github.com/jupyter-guide/ten-rules-jupyter

Guide for Reproducible Research and Data Science in Jupyter Notebooks:
https://github.com/jupyter-guide/jupyter-guide

https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python

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