From 7bd03ee1e3fdce78a0b9a463d370dba304c24af1 Mon Sep 17 00:00:00 2001
From: medusa <newton214@gmail.com>
Date: Wed, 26 Jun 2024 06:19:07 +0000
Subject: [PATCH] Update tech_docs/python/json_python.md

---
 tech_docs/python/json_python.md | 136 ++++++++++++++++++++++++++++++++
 1 file changed, 136 insertions(+)

diff --git a/tech_docs/python/json_python.md b/tech_docs/python/json_python.md
index 92e83ab..868ea32 100644
--- a/tech_docs/python/json_python.md
+++ b/tech_docs/python/json_python.md
@@ -1,3 +1,139 @@
+Certainly! Understanding `json` module functions like `load`, `loads`, `dump`, and `dumps` is crucial for effective serialization and deserialization in Python. Here’s a breakdown of these functions and some helpful reminders:
+
+### JSON Functions in Python
+
+1. **`json.dump`**:
+   - Serializes a Python object to a JSON-formatted stream (usually a file).
+   - Takes a file-like object as an argument.
+   
+   **Syntax:**
+   ```python
+   json.dump(obj, fp, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False)
+   ```
+   
+   **Example:**
+   ```python
+   import json
+
+   person = {"name": "Alice", "age": 30}
+
+   with open("person.json", "w") as file:
+       json.dump(person, file)
+   ```
+
+2. **`json.dumps`**:
+   - Serializes a Python object to a JSON-formatted string.
+   - Useful for sending JSON data over a network or saving it in a string format.
+   
+   **Syntax:**
+   ```python
+   json.dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False)
+   ```
+   
+   **Example:**
+   ```python
+   person = {"name": "Alice", "age": 30}
+   person_json = json.dumps(person)
+   print(person_json)  # Output: {"name": "Alice", "age": 30}
+   ```
+
+3. **`json.load`**:
+   - Deserializes a JSON-formatted stream (usually a file) to a Python object.
+   - Takes a file-like object as an argument.
+   
+   **Syntax:**
+   ```python
+   json.load(fp, *, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None)
+   ```
+   
+   **Example:**
+   ```python
+   with open("person.json", "r") as file:
+       person = json.load(file)
+       print(person)  # Output: {'name': 'Alice', 'age': 30}
+   ```
+
+4. **`json.loads`**:
+   - Deserializes a JSON-formatted string to a Python object.
+   
+   **Syntax:**
+   ```python
+   json.loads(s, *, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None)
+   ```
+   
+   **Example:**
+   ```python
+   person_json = '{"name": "Alice", "age": 30}'
+   person = json.loads(person_json)
+   print(person)  # Output: {'name': 'Alice', 'age': 30}
+   ```
+
+### Helpful Reminders
+
+1. **File Handling:**
+   - Always open files in the correct mode: `w` for writing, `r` for reading.
+   - Use `with` statements to handle files to ensure they are properly closed after use.
+
+   **Example:**
+   ```python
+   with open("data.json", "w") as file:
+       json.dump(data, file)
+
+   with open("data.json", "r") as file:
+       data = json.load(file)
+   ```
+
+2. **Indentation and Formatting:**
+   - Use the `indent` parameter in `dumps` and `dump` to format JSON output for better readability.
+   
+   **Example:**
+   ```python
+   person_json = json.dumps(person, indent=4)
+   print(person_json)
+   ```
+
+3. **Custom Serialization:**
+   - You can define custom serialization for objects that aren’t natively serializable by JSON using the `default` parameter in `dumps` or `dump`.
+   
+   **Example:**
+   ```python
+   import json
+   from datetime import datetime
+
+   def default_serializer(obj):
+       if isinstance(obj, datetime):
+           return obj.isoformat()
+       raise TypeError(f"Type {type(obj)} not serializable")
+
+   data = {"name": "Alice", "timestamp": datetime.now()}
+   json_str = json.dumps(data, default=default_serializer)
+   print(json_str)
+   ```
+
+4. **Error Handling:**
+   - Handle exceptions such as `json.JSONDecodeError` to catch errors during deserialization.
+
+   **Example:**
+   ```python
+   import json
+
+   json_str = '{"name": "Alice", "age": 30'  # Malformed JSON
+
+   try:
+       person = json.loads(json_str)
+   except json.JSONDecodeError as e:
+       print(f"JSON decode error: {e}")
+   ```
+
+### Summary
+
+- **`dump`** and **`dumps`**: Used for serialization. `dump` writes to a file, and `dumps` returns a string.
+- **`load`** and **`loads`**: Used for deserialization. `load` reads from a file, and `loads` parses a string.
+
+These tools and practices will help you efficiently work with JSON data in Python.
+
+---
+
 Sure! Let's focus on the Python implementation of serialization and deserialization, illustrating the process with detailed examples.
 
 ### Serialization