Consuming HTTP Services in Python Transcripts
Chapter: Reading JSON data with requests
Lecture: Concept: JSON from Python
Login or
purchase this course
to watch this video and the rest of the course contents.
0:01
So you've seen Json parsing and serialization in action in Python,
0:04
let's review the key concepts that were in play;
0:08
so this is more or less the same code that we just wrote
0:10
and remember we started with importing of the Json module,
0:13
this is a built in thing in the standard libraries,
0:16
this is a built in thing in the Python standard library
0:19
so we didn't have to install an external package to get this support,
0:22
we just import Json and we're off to the races, so we started with Json text
0:25
which is just an in memory version of some Json string representation,
0:31
and we want to turn that into something that we could actually work with in Python,
0:34
so what we did is we called the load s, load from sting,
0:37
and we passed the Json text in to be parsed, we got back data,
0:41
which we saw was a dictionary, so we have this dictionary,
0:44
we work with it however you work with dictionaries in Python using get,
0:48
assigning to a key to change the values,
0:51
things like that and then to get the data back out, to send it off to somewhere
0:54
to save it to a file of course we just did a dump s, dump to string
0:58
and what we get back is more text,
1:00
now, it's worth noting that the thing that came out here
1:03
is sort of somewhat minified Json,
1:06
there is no like line breaks or indentation or anything pretty about it,
1:09
you can set an indentation setting on the dump s method
1:13
and it will be a little bit nicer text if you care about readability.
