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As a data scientist who mainly works and codes in Python, I would love to see the code examples available in Python, too. I will try to provide them by myself, so right now I am adding Jupiter notebooks to the folders which will produce roughly the same analysis an pictures as the R examples. Once I am finished with this, we might have to think about how to structure the code and output because right now the final output is given as html, and I don't want to provide two html files. Maybe we will group the code in sub folders according to the programming language.
The aim will be to roughly reproduce the pictures so the reader has a starting point, but I will not recreate the exact picture because this will be too much the effort. We should follow the Pareto principle here. So for example the first graphic I reproduced with plotly and their margin functionality which creates the histograms but with other bin sizes.
But first I will have to migrate all examples, and I have just started reading so I am looking forward to this!
The text was updated successfully, but these errors were encountered:
Just found out about the wonderful plotnine package, that I will use from now on to recreate the plots in Python. With plotnine, the syntax is nearly identical to R, helping readers with the transition between the two languages. I also provide plotly code because I like plotly's interactive capabilities but it is not as powerful as other plotting librariers
As a data scientist who mainly works and codes in Python, I would love to see the code examples available in Python, too. I will try to provide them by myself, so right now I am adding Jupiter notebooks to the folders which will produce roughly the same analysis an pictures as the R examples. Once I am finished with this, we might have to think about how to structure the code and output because right now the final output is given as html, and I don't want to provide two html files. Maybe we will group the code in sub folders according to the programming language.
The aim will be to roughly reproduce the pictures so the reader has a starting point, but I will not recreate the exact picture because this will be too much the effort. We should follow the Pareto principle here. So for example the first graphic I reproduced with plotly and their margin functionality which creates the histograms but with other bin sizes.
But first I will have to migrate all examples, and I have just started reading so I am looking forward to this!
The text was updated successfully, but these errors were encountered: