A visual debugger for Jupyter

1 · JupyterHub · March 25, 2020, 4:15 p.m.
Most of the progress made in software projects comes from incrementalism. The ability to quickly see the outcome of an execution and iterate has been one of the main reasons for the success of Jupyter, especially in scientific exploratory workflows.Jupyter users like to experiment in the notebook, and to use the notebook as an interactive communication tool. However, for more classical software development tasks such as the refactoring of a large codebase, they often switch to general-purpose ID...