Working With Audio in Python¶

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

• Generating Simple Audio Signals

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:

• Introduction to Python

More topics:

• Plotting with Python

• Reading and Writing Audio Files

• List Comprehensions, Generators, Generator Expressions

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

• Introduction to Jupyter/IPython notebooks

• Introduction to NumPy

• Testing Python Code

• Signal Processing

TODO: more topics ...

External Links¶

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

Python in General¶

http://cscircles.cemc.uwaterloo.ca/

http://docs.python.org/3/tutorial/

http://docs.python-guide.org/

http://learnpythonthehardway.org/book/

http://getpython3.com/diveintopython3/index.html

http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html

http://lignos.org/py_antipatterns/

http://www.digilentinc.com/Classroom/IntroProgramming1/

https://github.com/JonasSC/PythonistManifesto

https://github.com/rasbt/python_reference

http://www.greenteapress.com/thinkpython/

Programming with Python (MATH20622): http://www.maths.manchester.ac.uk/~vsego/teaching.php

https://github.com/justmarkham/python-reference

pytudes: Python programs for perfecting programming skills
https://github.com/norvig/pytudes

https://rsokl.github.io/Learning_Python/

Python Trivia¶

http://www.b-list.org/weblog/2015/oct/13/wats-doc/

Collaboration with Other Software¶

https://github.com/arokem/python-matlab-bridge

https://github.com/ewiger/mlab

https://github.com/bastibe/transplant

Comparison with Other Software¶

http://wiki.scipy.org/NumPy_for_Matlab_Users

http://bastibe.de/2013-01-20-a-python-primer-for-matlab-users.html

Non-Python Stuff¶

https://github.com/IoSR-Surrey/MatlabToolbox

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