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Working with JSON in Python

Sam Agnew on November 19, 2018

Often developers need to deal with data in various different formats and JSON, short for JavaScript Object Notation, is one of the most popular for...

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Jose Gonzalez • Nov 19 '18

Hey Sam,

Ty for this post. I've been a .NET dev for over a decade now. And I'm a amazed at what Python can do with so little setup/code.

I typed some of this code and got the results you mentioned above. Hope to see more of these types of posts!

Nam Nguyen • Nov 29 '18

thanks for the post. however, i think it would be better if you show more detailed on the differences between those package, for example, loads and dumps speed.

Muhammed H. Alkan • Nov 22 '18

eval(json_data)

Still works, not recommended.

Jeremy Moore • Apr 12 '19

How about

ast.literal_eval(json_data)

Dmitry Kravtsov • Feb 14 '20

Still works, not recommended :)

Suhail • Nov 20 '18

Hi Sam,

Thanks for posting. Never used Ultra JSON in the past, will definitely give it a shot.

rapidtables • Apr 13 '19

Awesome in depth article, I am also working with JSON with Python and JAVA, and I use these tools to help me validate and visualise JSON data.

codebeautify.org/jsonviewer
jsonformatter.org

Pavitra Golchha • Jan 8 '19 • Edited

I never had the need to use any JSON module to work with JSON in Py or JS.

Dmitry Kravtsov • Feb 14 '20 • Edited

Well, thats a bad habbit if you do it with eval in Python. For unfiltered data ast.literal_eval is preferred, but it's still 4 times slower than builtin json.loads, so I don't see a reason to ignore it.

nalani5210 • Mar 16 '21

Using python to process JSON is more convenient than JAVA, great!
I also use some tools to process JSON, such as
jsonformatting.com/

Vladimir Donets • Dec 15 '18

ijson perfect for working with large json files.