This chapter walks you through two of the most important functionalities of PyCharm in the context of data science projects—the SciView panel and Jupyter notebooks. Both of these functionalities offer a great interface so that we can view and work with the data and variables we have in a given data science project.
First, we will discuss the process of using the SciView panel, another PyCharm-specific panel or window tool, to inspect common data science-related data structures such as NumPy arrays and Pandas DataFrames. We will then learn about the integration of interactive Python computing tools such as Jupyter notebooks in PyCharm and how to use them in our own projects.
The following topics will be covered in this chapter:
- Viewing and interacting with data via the SciView panel
- Understanding the integration of Interactive...
