In Python data analysis, exposing a REST API can be efficiently done using frameworks like Flask or FastAPI. These frameworks allow you to create endpoints that can handle requests and return responses in a structured format, typically JSON. Below is a simple example of how to expose a REST API using Flask to serve data analysis results.
from flask import Flask, jsonify
app = Flask(__name__)
@app.route('/data', methods=['GET'])
def get_data():
# Sample data analysis result
result = {
'average': 42,
'count': 100,
'max': 99,
'min': 1
}
return jsonify(result)
if __name__ == '__main__':
app.run(debug=True)
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