Yasoob Khalid 08/08/2013

Storing and Loading Data with JSON

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This article compares JSON and Python's pickle for data serialization, highlighting JSON's advantages in security (no arbitrary code execution), human readability, and cross-language compatibility. It provides practical Python code examples for using the json module to dump, load, and format data, and discusses the limitations of JSON regarding which Python object types can be serialized.

Storing and Loading Data with JSON

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