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Dynamic Data Viewing with SciView and Jupyter
In this chapter, we will continue our scientific voyage through the exploration of two vital features of PyCharm: SciView and integration with Jupyter notebooks. Both features give us integrated and usable interfaces, allowing us to view and work with data and variables in our science projects.
We’ll begin by discussing the SciView panel, which was introduced tacitly in the last chapter. Here, we’ll be going into more depth and realism by working with NumPy arrays and pandas DataFrames.
After that, we’ll evolve our workflow even further to include coverage of working with interactive Python computing tools such as Jupyter notebooks within the context of our scientific projects in PyCharm.
By the ...
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