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json (javascript object notation) is a lightweight data-interchange format widely used for data exchange between a server and a web application, or between different parts of a program. python provides a built-in module called json to work with json data. in this tutorial, we'll explore the basics of accessing json data in python.
json is a text format that is easy for humans to read and write, and easy for machines to parse and generate. it consists of key-value pairs and supports various data types, including objects, arrays, strings, numbers, booleans, and null.
in python, the json module provides methods for working with json data. to use it, you need to import the module:
to access json data, you first need to load it into a python object using the json.loads() method. this method takes a json-formatted string as input and returns a corresponding python object (dictionary, list, etc.).
once the json data is loaded into a python object, you can access its values using standard dictionary or list notation.
you can also load json data directly from a file using the json.load() method.
json can contain nested structures, such as nested objects or arrays. accessing values in nested structures involves chaining the keys or indices.
if you need to convert a python object back to a json-formatted string, you can use the json.dumps() method.
understanding how to access json data in python is essential for working with apis, handling configuration files, and processing data in various applications. the json module makes it easy to convert between json and python data structures, enabling seamless integration in your projects.
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