Deploy Interactive Real-Time Data Visualizations on Flask With Bokeh. Python has fantastic support for functional analytics tools including NumPy, SciPy, pandas, Dask, Scikit-Learn, OpenCV, and many more.
Python has fantastic support for functional analytics tools including NumPy, SciPy, pandas, Dask, Scikit-Learn, OpenCV, and many more. Of the various data visualization libraries for Python, Bokeh has prevailed as the most functional and powerful of the bunch. The library supports a handful of interfaces that cover many common use cases.
For our example, we are going to create an interactive explorer for movie data. Our project will feature UI widgets (sliders, menus) that, when changed, update the displayed data.
We are going to cover:
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