From 956e8341115ffa36b2283dcc9455d09febfc153d Mon Sep 17 00:00:00 2001
From: medusa <newton214@gmail.com>
Date: Wed, 26 Jun 2024 06:13:46 +0000
Subject: [PATCH] Update tech_docs/python/json_python.md

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+Sure! Let's focus on the Python implementation of serialization and deserialization, illustrating the process with detailed examples.
+
+### Serialization
+
+Serialization in Python can be done using various libraries, such as `json`, `pickle`, or others. Here, we'll use the `json` library for simplicity.
+
+1. **Convert Data Class to JSON Object:**
+
+First, let's define a simple data class and serialize it to a JSON string.
+
+**Example in Python:**
+```python
+import json
+
+class Person:
+    def __init__(self, name, age):
+        self.name = name
+        self.age = age
+
+# Create an instance of the class
+person = Person("Alice", 30)
+
+# Serialize the object to JSON
+person_json = json.dumps(person.__dict__)
+
+print(person_json)  # Output: {"name": "Alice", "age": 30}
+```
+
+### Deserialization
+
+Deserialization is the reverse process, converting the JSON string back into an object.
+
+1. **Convert JSON Object Back to Data Class:**
+
+**Example in Python:**
+```python
+# Deserialize the JSON back to a dictionary
+person_dict = json.loads(person_json)
+
+# Create a new instance of Person with the deserialized data
+deserialized_person = Person(**person_dict)
+
+print(deserialized_person.name)  # Output: Alice
+print(deserialized_person.age)   # Output: 30
+```
+
+### Complete Example
+
+Combining serialization and deserialization into a complete example:
+
+```python
+import json
+
+class Person:
+    def __init__(self, name, age):
+        self.name = name
+        self.age = age
+
+# Serialization
+def serialize(person):
+    """Serialize a Person object to a JSON string."""
+    return json.dumps(person.__dict__)
+
+# Deserialization
+def deserialize(person_json):
+    """Deserialize a JSON string to a Person object."""
+    person_dict = json.loads(person_json)
+    return Person(**person_dict)
+
+# Example usage
+if __name__ == "__main__":
+    # Create an instance of the class
+    person = Person("Alice", 30)
+    
+    # Serialize the object to JSON
+    person_json = serialize(person)
+    print(f"Serialized JSON: {person_json}")
+    
+    # Deserialize the JSON back to a Person object
+    deserialized_person = deserialize(person_json)
+    print(f"Deserialized Person: Name={deserialized_person.name}, Age={deserialized_person.age}")
+```
+
+### Explanation
+
+1. **Serialization:**
+   - The `serialize` function takes a `Person` object and converts it into a JSON string using `json.dumps()`.
+   - The `__dict__` attribute of the object is used to get a dictionary representation of the object's attributes.
+
+2. **Deserialization:**
+   - The `deserialize` function takes a JSON string and converts it back into a `Person` object using `json.loads()`.
+   - The resulting dictionary is unpacked into the `Person` constructor using the `**` syntax.
+
+This approach provides a clear and concise method for serializing and deserializing objects in Python, ensuring that the object's state can be easily saved and restored.
+
+---
+
 # Comprehensive Guide: JSON 'Querying' in Python
 
 When working with JSON in Python, you're essentially navigating and manipulating a nested structure of dictionaries and lists. While not a formal query language like SQL, Python provides powerful tools to extract, filter, and transform JSON data. Here's an in-depth look at common operations: