![]() Each course will earn you a downloadable course certificate. Our premium courses offer a superior user experience with small, easy-to-digest lessons, progress tracking, quizzes to test your knowledge, and practice sessions. Convert from Python to JSON: import json a. ![]() You’re now ready to start experimenting! If you want to learn more, try these links: If you have a Python object, you can convert it into a JSON string by using the json.dumps() method. ![]() Note that we’re now using double quotes because we need to quote the name inside the filter expression. I have tried using the json module in Python, but it is taking too long to load the entire file into memory. You can do so with a filter: > arch("persons.age", persons) Summary: I am currently working on a project where I need to parse extremely large JSON files (over 10GB) in Python, and I am looking for ways to optimize the performance of my parsing code. Suppose you want to filter the list, and only get the ages for people named ‘erik’. This JMESPath expression will get the job done: > import jmespath In the problem statement above, we wanted to extract all the age fields from the array of persons in the JSON document. We’ll fetch the first person from the array, and then get the first person’s age: > arch('persons', persons) For example: doc will get you the nested value for age in a document that looks like this: As we’ve seen on the previous page, it’s easy to get a nested value from a Python dictionary using Python’s own JSON library.
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