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So, the story begins with my wish for a better way. Have you ever taught programming and wished to have the class notes, sample code and exercises with instructions all in one place? Have you ever heavily commented your code and wished it was more readable? Have you used R Markdown and wished to run individual code chunks with only a button or keyboard shortcut? Have you ever wished to use multiple programming languages in the same place, same document? Loads of potential for data scientists there. But for those with that extreme sense of adventure and/or use Python 2 a lot with other languages, give the Beaker notebooks a chance.
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Because Jupyter is much more mature of a project, it'd probably be the best place to start. Here, we're discussing two, Jupyter and Beaker.
#Comment out whole section python jupyter notebook how to
Tl dr: Once you learn how to use one kind of notebook system, the knowledge will transfer easily to another. Python for Data Science Goes Into the Wild.Tips I have Learned by Being a Trainer for a Year.Building an OCR Chat Bot with the Microsoft Bot Framework on my Mac.Creating a Smart Python Flask Web App using Azure Machine Learning.
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