Python for Absolute Beginners Transcripts
Chapter: Appendix: Jupyter as your editor for this course
Lecture: What are Jupyter notebooks
0:00 In this brief appendix
0:01 I want to show you how you can set up
0:02 Jupyter as your editor for this course.
0:05 Well, first of all, what is Jupyter?
0:07 Jupyter, and Jupyter Notebooks, are these live
0:10 half-descriptive in presentation
0:12 and half-coding interactive webpages
0:15 I guess, for the lack of a better word.
0:17 Here's an example where someone's exploring the
0:20 algorithms, or the Lorenz differential equations.
0:23 See, they're writing a little bit of description
0:25 and then they're loading up some Python
0:27 and they have some more description
0:29 then they're running some Python.
0:30 And you get a picture, and so on.
0:31 Now, before we get into showing you how this works
0:35 and why you might use it
0:36 I want to point out that during the course
0:38 we are using PyCharm Community Edition.
0:40 That's free. Jupyter's also free.
0:43 That's free and open source.
0:44 And that's what I'm going to be doing.
0:46 I think that is the best way for beginners to get started
0:49 and honestly one of best ways for professional developers
0:52 to work as well. That's how I work, every day.
0:54 The reason I'm saying that is
0:55 if you can use the PyCharm Community Edition
0:57 please do that.
0:58 It'll be the closest match to what we have
1:00 happening in the course.
1:01 Well, why might you want to use Jupyter
1:03 after that statement, right?
1:04 Jupyter Notebooks are very very popular in data science
1:07 and if you're going down the data science
1:09 side of things
1:10 you might want to work in this tool.
1:12 You might want to just get some exposure to it
1:13 and you know, it doesn't have to be all or nothing
1:15 you can do some work in Jupyter
1:17 you can do some work in PyCharm.
1:18 Now, I do want to point out
1:19 in Jupyter, the last, not the last
1:22 two of the chapters, the second to last two chapters
1:25 will not work in Jupyter
1:27 at least not correctly.
1:28 Not the way we expect them to work
1:30 so the one working on external libraries
1:33 I don't think that's going to work
1:35 and possibly the air handling one
1:37 as it's done currently.
1:39 So there's definitely a reason to use other editors
1:42 but if you are on that data science side of things
1:44 and you just want to get some experience
1:46 being in a notebook
1:47 by all means, set it up and use it for your editor as part of this course
1:51 it'll get you great exposure.