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How to host a data driven blog from Jupyter notebook to here
If you work with Google Colab notebooks, you can either copy and paste the link to the notebook as in here:
This is workable, but not quite the thing I was looking for. Then I tried with Deepnote.
It was the same thing. I could copy paste from each cell and paste here. They gave me a couple of ways to share the notebook, both of them roughly equivalent and not too much different from what Google Colab allowed me.
It was the same thing. I could copy paste from each cell and paste here. They gave me a couple of ways to share the notebook, both of them roughly equivalent and not too much different from what Google Colab allowed me.
Or one can paste a viewable link, as in here:
The other alternative would be to copy paste from each cell here. A better way might be to work on a hosted jupyter notebook and paste from there to here.
It is possible that for both Google Colab and Deepnote, I could export the documents as
ipynb files and then do something like pandoc -f ipynb -t markdown filename.ipynb and work with it. Working with a self-hosted jupyterlab/jupyter notebook is more straightforward. I could run the analyses, and then I was able to directly export the notebook as markdown file and copy paste from the file. All images can be directly pushed into this editor.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as snsx = [1,2,3,4,5]
y = [3,4,5,6,7]
xydata = pd.DataFrame({"x":x, "y":y})
xydata.head().dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}| x | y | |
|---|---|---|
| 0 | 1 | 3 |
| 1 | 2 | 4 |
| 2 | 3 | 5 |
| 3 | 4 | 6 |
| 4 | 5 | 7 |
%matplotlib inline
plt.scatter(x,y)
plt.plot(x,y)
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