Python Textbook as a Jupyter Notebook

The perfect example of a textbook as a collection of Jupyter notebooks may be the Deep Learning for Coders book: <a href="https:&#x2F;&#x2F;github.com&#x2F;fastai&#x2F;fastbook" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;fastai&#x2F;fastbook</a>

I like the concept of Jupyter Notebooks and I do use them extensively, but I can&#x27;t use my emacs shortcuts which makes writing anything more than a few lines really annoying.<p>Especially, writing Latex Math without Auctex (emacs package) is very tedious. What&#x27;s the solution?

See also &quot;Python Data Science Handbook&quot; by Jake VanderPlas, which uses Jupyter notebooks too.<p>[0] <a href="https:&#x2F;&#x2F;jakevdp.github.io&#x2F;PythonDataScienceHandbook&#x2F;" rel="nofollow">https:&#x2F;&#x2F;jakevdp.github.io&#x2F;PythonDataScienceHandbook&#x2F;</a>

I have prepared a few lessons on getting started with Python. It is basically a Python Textbook for those wanting to start learning Python for Data Science. In a unique twist, the textbook is a Jupyter Notebook in itself. Code and explanation all in one. You can directly run the code while you read the textbook, and master your Python skills. Currently includes Hello World, Language Semantics, Tuples and Lists. More lessons coming up.

Is the mention of data science in the readme an indicator of future work that you want to add? Because as far as I can see there&#x27;s no data science anywhere in the project so far.

Jupyter Book seems to be a good fit for this.

@moderators: This should be a show HN.