nbtutor 2.0.3

Visualize Python code execution in Jupyter Notebook cells

Nbtutor

Visualize Python code execution (line-by-line) in Jupyter Notebook cells. Inspired by Online Python Tutor

Install

Note: installing directly off this repo won't work, as we don't ship the built JavaScript and CSS assets. See more about developing below.

pip

pip install nbtutor
jupyter nbextension install --overwrite --py nbtutor
jupyter nbextension enable --py nbtutor

conda

conda install -c conda-forge nbtutor
jupyter nbextension install --overwrite --py nbtutor
jupyter nbextension enable --py nbtutor

Usage (Jupyter Notebook)

First load the nbtutor IPython kernel extension at top of the Notebook by executing the following magic in a CodeCell:

%load_ext nbtutor

Then to visualize the execute of code in a CodeCell add the following magic to the top of the CodeCell and execute it again:

%%nbtutor

Optional Arguments

There are also optional arguments that can be used with the cell magic:

• Reset the IPython user namespace

  %%nbtutor -r/--reset
  

• Suppress the confirmation message from -r/--reset

  %%nbtutor -r/--reset -f/--force
  

• Specify the maximum frame depth to visualize (default: 3)

  %%nbtutor -d/--depth N
  

• Specify the maximum number of elements to visualize for "sequence" type objects (default: 5)

  %%nbtutor --max_size S
  

• Step through all frames (including frames from other cells and other global scopes altogether)

  %%nbtutor --step_all
  

Notes

• If you find a problem please feel free to submit a GitHub Issue

Develop

Please see the DEVELOPMENT.md file