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npm Adopts OIDC for Trusted Publishing in CI/CD Workflows
npm now supports Trusted Publishing with OIDC, enabling secure package publishing directly from CI/CD workflows without relying on long-lived tokens.
Saving and loading files directly into Jupyter notebooks
pip install jupyter-io
jupyter-io provides the in_notebook
function to directly save (i.e. embed) files to Jupyter notebooks.
Suppose you create a Matplotlib figure want to save it as a PDF file.
The following code will save the PDF file to your local environment:
import matplotlib.pyplot as plt
plt.plot([1, 2, 3])
plt.savefig("figure.pdf")
This should work in many cases, however, in a virtual environment like Google Colaboratory, you will not be able to get the file once the Jupyter server is stopped.
By wrapping the file path by in_notebook
, the PDF file will be directly saved to the Jupyter notebook and you will get a download link instead:
import matplotlib.pyplot as plt
from jupyter_io import in_notebook
plt.plot([1, 2, 3])
plt.savefig(in_notebook("figure.pdf"))
The download link works when the Jupyter server is stopped, and even when it does not exist. This makes Jupyter notebooks more portable, for example, to share the output data other than images together with them.
To save a pandas series to a notebook:
import pandas as pd
from jupyter_io import in_notebook
ser = pd.Series([1, 2, 3])
ser.to_csv(in_notebook("series.csv"))
To save a general text to a notebook:
from jupyter_io import in_notebook
with open(in_notebook("output.txt"), "w") as f:
f.write("1, 2, 3\n")
The file loading feature has not been implemented yet.
FAQs
Saving and loading files directly into Jupyter notebooks
We found that jupyter-io demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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