Web Reference: The FileUpload changed significantly in ipywidgets 8: The .value traitlet is now a list of dictionaries, rather than a dictionary mapping the uploaded name to the content. A detailed guide on how to use Python library ipywidgets that let us create widgets (dropdown, radio buttons, checkboxes, buttons, etc) in Jupyter notebooks. These widgets let us add interactivity to our notebooks. It can be linked to various data viz libraries to make charts interactive like dashboards and web apps. The ipywidgets package should be installed by default in Anaconda, but you can also install it manually with conda install ipywidgets. Alternatively, you can install ipywidgets with pip install ipywidgets, but then you also need to type the following command in order to enable the extension in the Jupyter Notebook:
YouTube Excerpt: In this video, we learn how to create and use interactive Python plots in Jupyter Notebooks.
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