Effective PyCharm Transcripts
Chapter: Data science tools
Lecture: Introduction to the data science tools
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Our next topic is the scientific tooling and special features of PyCharm around the data science tools,
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so if you're working with things like NumPy, Pandas, machine learning, Jupyter notebooks,
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all of those things fall well in the realm of what we're talking about now, and you'll see that PyCharm has special support and debugging tools
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for these types of libraries. So the first thing you're going to notice when you start working with PyCharm doing data sciency things
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is some of the packages that are well known to be used in data science contexts like NumPy for example, PyCharm sees you importing one of these,
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it'll automatically say hey it looks like you're doing something data sciency, do you want to turn on scientific mode,
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and that will flip open into a new mode, so let's go explore that now.