Python for Absolute Beginners Transcripts
Chapter: Appendix: Jupyter as your editor for this course
Lecture: What are Jupyter notebooks
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In this brief appendix I want to show you how you can set up Jupyter as your editor for this course. Well, first of all, what is Jupyter?
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Jupyter, and Jupyter Notebooks, are these live half-descriptive in presentation and half-coding interactive webpages
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I guess, for the lack of a better word. Here's an example where someone's exploring the algorithms, or the Lorenz differential equations.
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See, they're writing a little bit of description and then they're loading up some Python and they have some more description
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then they're running some Python. And you get a picture, and so on. Now, before we get into showing you how this works and why you might use it
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I want to point out that during the course we are using PyCharm Community Edition. That's free. Jupyter's also free. That's free and open source.
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And that's what I'm going to be doing. I think that is the best way for beginners to get started
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and honestly one of best ways for professional developers to work as well. That's how I work, every day. The reason I'm saying that is
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if you can use the PyCharm Community Edition please do that. It'll be the closest match to what we have happening in the course.
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Well, why might you want to use Jupyter after that statement, right? Jupyter Notebooks are very very popular in data science
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and if you're going down the data science side of things you might want to work in this tool. You might want to just get some exposure to it
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and you know, it doesn't have to be all or nothing you can do some work in Jupyter you can do some work in PyCharm. Now, I do want to point out
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in Jupyter, the last, not the last two of the chapters, the second to last two chapters will not work in Jupyter at least not correctly.
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Not the way we expect them to work so the one working on external libraries I don't think that's going to work and possibly the air handling one
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as it's done currently. So there's definitely a reason to use other editors but if you are on that data science side of things
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and you just want to get some experience being in a notebook by all means, set it up and use it for your editor as part of this course
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it'll get you great exposure.