Working with JSON Data in Python
In this video, you’ll get some practice deserializing JSON data from a web API. Then, you’ll learn how to manipulate this extracted data to derive meaning from it.
If you’re following along, here’s the resource used in the video: jsonplaceholder.typicode.com/todos
Comments & Discussion
himanshuwadhwa on June 12, 2019
Serializing - Converting Python’s List data format into JSON data . So you are encoding the python data into JSON data format (object format or string format)
Deserializing : Just doing the opposite ie decoding the JSON data back to Python data format .
Pulling the data from a Web API will give JSON formatted data which has to be converted (decoded) to Python data and based on whether you need the enitire data or not you apply relevant Python techniques to filter your final data.
ravipgupta12 on Nov. 12, 2019
What is the process for importing data from Json file into python?
Ranit Pradhan on March 28, 2020
Todos isn’t working in Jupyter Notebook and Python IDE 3.7 but it’s working in Spyder IDE. Can you tell me please, how it will work in Jupyter Notebok?
maniviswa on April 24, 2020
Its hard to understand, you could have taken aws as an example, it will be easier to understand.
cartwrightjarrod on May 7, 2020
How did you get the output screen on the right? what is that part in vs code is it an extension ?
cartwrightjarrod on May 7, 2020
So when I go to print the filtered object before converting it it just returns the object at some memory location, not the actual filtered object. so it seems in order to view it, you actually have to convert it to some type of containter, am I correct?
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terrymiddleton on May 11, 2019
I still don’t understand the what the difference is between serialized and deserialized means. Is it just that when deserializing we are pulling the matching the data to the key pairs when we read the json file? I’m missing somthing.