Answer:
Certainly! Apart from working with CSV and SQL, Python can use external data in various ways. Two additional methods are:
1. **JSON (JavaScript Object Notation):** Python has built-in support for JSON, a lightweight data interchange format. The `json` module in Python allows you to parse JSON data from external sources or convert Python data structures to JSON. This is useful for data exchange between different systems or for storing structured data.
Example:
```python
import json
# Reading JSON from a file
with open('data.json', 'r') as file:
data = json.load(file)
# Writing Python data to a JSON file
with open('output.json', 'w') as file:
json.dump(data, file)
```
2. **APIs (Application Programming Interfaces):** Python can interact with APIs to fetch and exchange data from external services or websites. This is commonly used for accessing data from social media platforms, weather services, financial data sources, and more. The `requests` library is often used for making HTTP requests to APIs.
Example:
```python
import requests
# Making a simple GET request to an API
response = requests.get('https://api.example.com/data')
data = response.json()
# Accessing specific information from the API response
print(data['key'])
```
These methods showcase Python's versatility in handling external data through various formats and protocols.
