matplotlib Next Steps Video Lecture Transcript
This transcript was automatically generated by Zoom, so there may be discrepancies between the video and the text.

13:29:31 Hi! Everybody! Welcome back in our last video of the Matt plot. Lib content.
13:29:36 We're gonna discuss. What are the next steps you can take if you'd like to learn more about Matt Plotlin
13:29:43 So let me go ahead and move over to our Jupiter.
13:29:45 Notebook and get it open. So in this section we learned a lot about a lot of different things about how to produce plots.
13:29:54 Edit, plots and save plots in that plot.
13:29:57 Lib. We build our way up all the way from just a regular empty figure object.
13:30:01 We learned how to add axes to that object, and make a variety of plots, including line plots, scatter plots, histograms, bar charts, pie, charts, heat maps, and more, and along the way we touched upon some you know best practices.
13:30:13 And data visualization. And then how to implement those practices within Matt plot live.
13:30:20 So a lot of learning platform lab does allow you to make a lot of good, interesting figures, but it also allows us to understand other packages, because many packages have been built upon Matt Plot.
13:30:32 Lib that enable you to make charts more quickly, which, for example, in the next section of the python content, we'll learn about Seborn, which is built upon Matt Plotl.
13:30:42 So while we covered a lot of Matt plot labs functionality, you might be interested in learning more.
13:30:48 So some of the things we didn't talk about. But you can do with Matt.
13:30:51 Plot, live, is make animated plots, plots that are interactive.
13:30:55 3 dimensional plots. You can make network visualizations.
13:31:00 And there's even more you can do. So. There's we have not exhausted the content of Matt Plat.
13:31:05 Live knowledge. But we're we've learned enough that we I feel confident that we can move on to the next section, and you're not missing out on a fundamental piece that will keep you from learning more.
13:31:16 So based on what we've done. You have all the tools to learn these things, but how can you go about learning them if you're relatively new to learning python stuff?
13:31:27 So one thing you can do is check out the documentation page for Matt.
13:31:30 Plot lib. So a lot of these have great learning resources.
13:31:34 One of them that we'll talk about in a second is the Example Gallery, which just has different plots that people have made a Matt plot lib and then give you the code so I think the documentation is a nice way to learn something so like let's say, you want to find I want to make a certain type.
13:31:49 Of chart you can do a web search to see if that chart function exists, and if it does, I would encourage you to check out the documentation, and then try and learn from that as opposed to just copying and pasting exams off of a different web search that being said one thing that you
13:32:05 should I do? Encourage for web searches? And I do this myself.
13:32:07 Is. Eventually you're going to come to a point where you get an error that the documentation can't help.
13:32:13 You understand, or there's some sort of weird thing you don't know how to do, and it's unclear how to find it in the documentation.
13:32:20 Do a web search for that, go to the different forums like stack, exchange, and stack overflow.
13:32:25 There's usually a good answer, and even if there's just a so-so answer, there's enough information in those to help you find your way through the documentation for what you need.
13:32:34 Another thing you can do so specifically for map Planib, because it's the W.
13:32:40 The most popular python package for for plotting data is that you can go ahead and read some books about it.
13:32:49 So people have written a lot of books about Matt Plotlib, one that I consulted for various parts of the these notebooks is the scientific visualization python and Matt Potlib, by Nicholas P.
13:33:00 Rougeier. I'm not sure if I'm saying that last name correctly.
13:33:03 But here's a link to the Github page for that book, and it has a nice free Pdf version of the book that he's provided, or they've provided.
13:33:12 And so it's a good book, and I encourage you to read through to learn more.
13:33:15 If you're interested. And really the the best way to learn is just to practice.
13:33:21 So when you're doing anything with coding, be it Matt, plot lib or data science algorithms or sorting algorithms stuff like that the best way to learn it is to practice.
13:33:34 And for me the best way to practice has been to get a project in mind of something I would like to visualize, and then figuring out how to make that visualization in Matt Plat lib.
13:33:44 Through a combination of reading the documentation and just doing web server.
13:33:47 So do your practice. It's okay to fail. That's the important part.
13:33:51 And usually how we learn best is by failing. Then figuring out what went wrong, so we can fix it.
13:33:57 So go ahead and practice, and I hope you enjoyed learning about Matt plot lib, even if you already knew about a lot of it.
13:34:04 And I hope if you're new to Matt Plotlib, you enjoyed seeing it for the first time, so I enjoyed having you learn about Matt Plot Lib, and the next section of our python content.
13:34:15 We're gonna learn about Seborn, which was built on top of Matt Plot lib.