![]() Now you can easily view, inspect and filter the variables in your application, including lists, NumPy arrays, pandas data frames, and more!Ī variables section will now be shown when running code and cells in the Python Interactive window. Once you expand it, you’ll see the list of the variables in the current Jupyter session. More variables will show up automatically as they get used in the code. Clicking on each column header will sort the variables in the table. The Python Interactive experience now comes with a built-in variable explorer along with a data viewer, a highly requested feature from our users. Keep on reading to learn more! Variable Explorer and Data Viewer
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