Description:

nbtransom 1.0.1

This is a Python 3 library to read/write cells programmatically in
Jupyter notebooks which anticipates upcoming
collaborative
features in Jupyter.
We use this at O’Reilly Media for
notebooks used to manage machine learning pipelines.
That is to say, machines and people collaborate on documents,
implementing a “human-in-the-loop” design pattern:

people adjust hyperparameters for the ML pipelines
machines write structured “logs” during ML modeling/evaluation
people run jupyter notebook via SSH tunnel for remote access

For more info about use cases for this library and active learning
in general, see the JupyterCon 2017 talk
Humans in the loop

Example Usage
The following script generates a Jupyter notebook in the test.ipynb
file, then runs it:
python test.py
jupyter notebook
Then launch the test.ipynb notebook and from the Cells menu
select Run All to view results.
NB: whenever you use the put_df() function to store data as a
Pandas dataframe
be sure to include import pandas as pd at some earlier point in
the notebook.


Dependencies and Installation
This code has dependencies on:

nbformat
pandas

To install from PyPi:
pip install nbtransom
To install from this Git repo:
git clone https://github.com/ceteri/nbtransom.git
cd nbtransom
pip install -r requirements.txt


Kudos
@htmartin
@esztiorm
@fperez
@odewahn

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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