#100DaysOfCode in Python Transcripts
Chapter: Days 40-42: JSON in Python
Lecture: Inspecting JSON schema

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0:00 Okay, so to start we're going to look at
0:02 a basic example of JSON output or JSON schema.
0:07 Okay so it is pretty complex at times,
0:10 especially when it starts getting really deep.
0:14 So just look at this basic example to understand it.
0:17 So from Python perspective, it looks pretty simple for now.
0:22 This is a really basic one again
0:23 and it's about a sort of person object
0:25 so you've got a title of a person.
0:28 You got the type, it's an object.
0:29 And then what are the properties of that?
0:31 Well there is a first name, a last name, an age,
0:35 a description, and so on and so forth.
0:38 What really gets people and gets me sometimes
0:42 with a JSON is once it's decoded in Python,
0:47 all of these become nested dictionaries and lists.
0:51 And it makes it quite difficult when you're writing loops
0:55 and what not to try and drill down
0:57 to those nested dictionaries.
1:00 So looking at this, if this was formatted
1:03 like a dictionary in Python, your first level
1:07 of the dictionary has the key title value person,
1:11 key type value object.
1:14 Key properties but the value of properties is
1:18 another dictionary and that dictionary goes
1:21 all the way down to here, okay.
1:24 And within that dictionary, you then have
1:28 another key called first name whose value is
1:31 yet another dictionary, okay.
1:34 And then that closes off here and then you have
1:37 another key whose value is yet another dictionary and so on.
1:42 When you break it down visually, it makes a lot more sense.
1:47 That said, it is still a little bit of a crazy process
1:53 trying to drill down, okay.
1:55 And we're going to work through that
1:56 in the next couple of videos.
1:58 So this is just a nice basic example
2:00 of what JSON schema looks like.
2:02 So have a good look at this.
2:04 Wrap your head around it and move onto the next video.